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JMS, Vol. 58, No. 2, 2022


GEOMECHANICS


PHENOMENON OF REDUCTION IN FRICTION AT THE TOE OF GRAVITY LANDSLIDE UNDER SEISMIC VIBRATION EFFECT
G. G. Kocharyan, Z. Z. Sharafiev, S. B. Kishkina, and Chengzhi Qi

Academician Sadovsky Institute of Geosphere Dynamics, Russian Academy of Sciences,
Moscow, 119334 Russia
e-mail: geospheres@idg.chph.ras.ru
Beijin University of Civil Engineering and Architecture, Beijin, 100044 China

The article describes the lab-scale testing of dynamic instability in a block placed on a rough slope surface and subjected to small-amplitude vibrations. It is shown that the macroscopic sliding evolution is well-presented using equations of creep with the properly selected constants. According to the testing data, the necessary condition of the dynamic failure is the critical displacement along the slope and the certain creep rate. The critical displacement appears to exceed greatly the typical value when the sliding surface transits to the residual shear resistance. It is found that the landslide body instability develops at the late stage due to the phenomenon of reduction in friction at increasing sliding velocity.

Slope-related phenomena, landslides, strain accumulation, creep, seismic vibration, earthquakes, blasts

DOI: 10.1134/S1062739122020016

REFERENCES
1. Fisenko, G.L., Ustoichivost’ bortov kar’erov i otvalov (Stability of Pitwall Slopes and Dumps), Moscow: Nedra, 1965.
2. Mel’nikov, N.N., Kozyrev, A.A., and Lukichev, S.V., New Approaches to Realiration of the Concept of Development of Deposits by Deep Open-Cut Mines, Gornyi Zhurnal, 2009, no. 11, pp. 7–11.
3. Yakovlev, D.V., Tsirel’, S.V., Zuev, B.Yu., and Pavlovich, A.A., Earthquake Impact on Pitwall Stability, Journal of Mining Science, 2012, vol. 48, no. 4, pp. 595–608.
4. Tsirel’, S.V. and Pavlovich, A.A., Challenges and Advancement in Geomechanical Justification of Pit Wall Designs, Gornyi Zhurnal, 2017, no. 7, pp. 39–45.
5. Keefer, D.K., Landslides Caused by Earthquakes, GSA Bulletin, 1984, vol. 95, no. 4, pp. 406–421.
6. Newmark, N.M., Effects of Earthquakes on Dams and Embankments, Geotechnique, 1965, vol. 15, no. 2, pp. 139–160.
7. Khramtsov, V.A., Bakaras, M.V., Kravchenko, A.S., and Korneichuk, M.A., Loose Dump Stability Control at Open Pit Iron Ore Mines of the Kursk Magnetic Anomaly, Mining Information and Analytical Bulletin—GIAB, 2018, no. 2, pp. 66–72.
8. Scheidegger, A.E., On the Prediction of the Reach and Velocity of Catastrophic Landslides, J. Rock Mech., 1973, vol. 5, no. 4, pp. 231–236.
9. Lucas, A., Mangeney, A., and Ampuero, J.P., Frictional Velocity-Weakening in Landslides on Earth and on Other Planetary Bodies, Nature Communications, 2014, vol. 5, no. 3417, pp. 1–9.
10. Kocharyan, G.G., Mekhanika razlomov (Mechanics of Faults), Moscow: Geos, 2016.
11. Melosh, H.J. and Ivanov, B.A., Impact Crater Collapse, Annual Review of Earth and Planetary Sciences, 1999, vol. 27, no. 1, pp. 385–415.
12. Boyce, J.M., Mouginis-Mark, P., and Robinson, M., The Tsiolkovskiy Crater Landslide, The Moon: An LROC View, Icarus, 2020, vol. 337, 113464. DOI: 10.1016/j.icarus.2019.113464.
13. Kocharyan, G.G., Kishkina, S.B., and Sharafiev, Z.Z., Laboratory Research of Slope Stability under Impacts, Journal of Mining Science, 2021, vol. 57, no. 6, pp. 965–977.
14. Sadovsky, M.A., Mirzoev, K.M., Negmatullaev, S.Kh., and Salomov, I.G., Fizika Zemli, 1981, no. 5, pp. 32–42.
15. Bobryakov, A.P., Kosykh, P.V., and Revuzhenko, A.F., Evolution of Stress State of Granular Medium under Multiple Dynamic Impacts, J. Fundament. Appl. Min. Sci., 2016, vol. 3, no. 1, pp. 18–22.
16. Mashinskii, E.I., Dynamic Microplasticity Phenomenon in Rock during P-Wave Propagation, Journal of Mining Science, 2014, vo9l. 50, no. 2, pp. 215–223.
17. Samarin, Yu.P., Uravneniya sostoyaniya materialov so slozhnymi reologicheskimi svoistvami (Equations of State of Materials Having Complex Rheological Properties), Kuibyshev: KGU, 1979.
18. Khristoforov, B.D., Rheological Analysis of Solid Bodies in a Wide Range of Deformation Time, Fiz. Mezomekh., 2010, vol. 13, no. 3, pp. 111–115.
19. Qi, Ch., Vang, M., Qyan, Q., and Chen, C., Structural Hierarchy and Mechanical Properties of Rocks. Part I: Structural Hierarchy and Viscosity, Fiz. Mezomekh., 2006, vol. 9, no. 6, pp. 29–39.
20. Qi, Ch., Haoxiang, C., Bai, J., Qi, J., and Li, K., Viscosity of Rock Mass at Different Structural Levels, Acta Geotechnica, 2017, vol. 12, pp. 305–320.
21. Meschyan, S.R., Eksperimental’naya reologiya glinistykh gruntov (Experimental Rheology of Clayey Soil), Moscow: Nedra, 1985.
22. Kocharyan, G.G., Kostyuchenko, V.N., and Pavlov, D.V., Initiation of Deformation in the Earth’s Crust by Weak Impacts, Fiz. Mezomekh., 2004, vol. 7, no. 1, pp. 5–22.
23. Sadovsky, M.A., Rodionov, V.N., and Sizov, I.A., Criteria of Similarity and Disintegration of Slow-Deformable Solids, Dokl. Akad. Nauk, 1995, vol. 341, no. 5, pp. 686–688.
24. Rabotnov, Yu.N., Problemy mekhaniki deformiruemogo tverdogo tela: izbrannye Trudy (Problems of Deformable Solid Mechanics: Selectals), Moscow: nauka, 1991.
25. Kachanov, L.M., Teoriya polzuchesti (Creep Theory), Moscow: Fizmatgiz, 1960.
26. Kocharyan, G.G., Nucleation and Evolution of Sliding in Continental Fault Zones under the Action of Natural and Man-Made Factors: A State-of-the-Art Review, Izvestiya, Physics of the Solid Earth, 2021, vol. 57, pp. 439–473.


COMPLEX LOADING OF GRANULAR MATERIALS WITH CONTINUOUS ROTATION OF STRAIN AXES
A. F. Revuzhenko and V. P. Kosykh

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: revuzhenko@yandex.ru
e-mail: v-kosykh@yandex.ru

The granular and other similar-type materials without cohesion are tested on various mode shearing machines. The complex loading machine with continuous rotation of principal strain axes is described. Loading represents a superposition of the planar and parallel Couette flows (simple shears) between parallel plates rotated at a certain angular rate. The stress and dilatancy data of quartz sand in deformation on the designed equipment are reported. It is found that stresses and dilatancy in cyclic deformation tend to stationary values. The stationary values of dilatancy increase with increasing shearing strain. The stationary deformation stresses change periodically, their average values weakly depend on the cyclic strains and their amplitude increases.

Shearing strain, complex loading, dilatancy, stresses, inelastic media, cyclic deformation, uniform flow

DOI: 10.1134/S1062739122020028

REFERENCES
1. Il’yushin, A.A. and Lensky, V.S., Soprotivlenie materialov (Strength of Materials), Moscow: Fizmatgiz, 1959.
2. Drescher, A., Vardoulakis, I., and Han, C., A Biaxial Apparatus for Testing Soils, Geotech. Testing J., 1990, vol. 13, no. 3, pp. 226–234.
3. RF State Standard GOST 12248.4-2020. Soil. Deformability in Compression.
4. RF State Standard GOST 12248.1-2020. Soil. Strength in Single-Plane Shearing.
5. Adushkin, V.V. and Orlenko, T.A., Strength and Decompaction of Sandy Soil in Shearing, Mekh. Tverd. Tela, 1971, no. 2, pp. 167–171.
6. Bishop, A.W., Shear Strength Parameters for Undisturbed and Remoulded Soil Specimens, Stress–Strain Behavior of Soils: Proc. Roscoe Memorial Symp., Cambridge, pp. 1–139.
7. Bobryakov, A.P. and Revuzhenko, A.F., Uniform Displacement of a Granular Material. Dilatancy, Journal of Mining Science, 1982, vol. 18, no. 5, pp. 373–379.
8. Gerasimova, T.I., Kondrat’ev, V.N., and Kocharyan, G.G., Modeling Features of Shear Deformation of Fissures Containing Filler, Journal of Mining Science, 1995, vol. 31, no. 4, pp. 288–295.
9. Kosykh, V.P. and Revuzhenko, A.F., Simple Shear Testing Machine, Journal of Mining Science, 2021, vol. 57, no. 4, pp 689–695.
10. Boldyrev, G.G., Metody opredeleniya mekhanicheskikh svoistv gruntov s kommentariyami k GOST 12248-2010 (Determination of Mechanical Properties of Soil with Comments on GOST 12248-2010), Moscow: LLC Prondo, 2014.
11. Bugrov, A.K., Narbut, R.M., and Sipidin, V.P., Issledovanie gruntov v usloviyakh trekhosnogo szhatiya (Soil Analysis in Triaxial Compression), Leningrad: Stroiizdat, Leningrad. Otdelenie, 1987.
12. Boldyrev, G.G. and Idrisov, I.Kh., Anisotropic Behavior of Soil in Complex Stress State. State-of-the-Art. Part I: Influence of Principal Stress Direction on Soil Strength, Geotekhnika, 2017, no. 5, pp. 4–19.
13. Wong, R.S.K. and Arthur, J.R.F., Induced and Inherent Anisotropy in Sand, Geotechnique, 1985, vol. 35, no. 4, pp. 471–481.
14. Yang, L.-T., Li, X., Yu, H.-S., Wanatowski, D., A Laboratory Study of Anisotropic Geomaterials Incorporating Recent Micromechanical Understanding, Acta Geotechnica, 2016, vol. 11, pp. 1111–1129.
15. Huan Xiong, Lin Guo, Yuanqiang Cai, and Zhongxuan Yang, Experimental Study of Drained Anisotropy of Granular Soils Involving Rotation of Principal Stress Direction, European J. Env. Civil Eng., 2015. http://dx.doi.org/10.1080/19648189.2015.1039662.
16. Revuzhenko, A.F., Mechanics of Granular Media, Springer-Verlag Berlin Heidelberg, 2006.
17. USA patent no. 4095461. Rheological Test Method and Apparatus, С 01 N3/24, 1978.
18. Revuzhenko, A.F. and Bobryakov, A.P., USSR Author’s certificate no. 1308879. Granular Material Testing Machine, Byull. Izobret., 1987, no. 17.


SEISMIC RESPONSE OF UNDRAINED TWIN TUNNELS
K. Ouadfel, S. Messast, and K. Boulfoul

LMGHU Laboratory, 20 August 1955 University of Skikda,
Skikda, 21000 Algeria
e-mail: k.ouadfel@univ-skikda.dz
e-mail: s.messast@univ-skikda.dz
University of Batna 2 (Mostefa Ben Boulaid), Batna, 05000 Algeria
e-mail: kh.boulfoul@univ-batna2.dz

The article presents a real case of twin tunnels T4 of the East-West Highway (Algeria) for studying purpose of the effects therein on the soil-structure interaction and the excess pore water pressure on the same by use of a numerical analysis PLAXIS 3D. The results obtained from the Mohr–Coulomb model have been compared with those of Hardening Soil Model for drained and undrained condition. More to the point, it indicates that the soil under undrained condition can produce a significant modification in the normalized internal forces and the moment of lining for the stiff tunnels compared to flexible tunnels.

Soil–structure interaction, dynamic, numerical modeling, twin tunnels, clay soil, drained and undrained condition

DOI: 10.1134/S106273912202003X

REFERENCES
1. Hashash, Y.A., Hook, J., Schmidt, B., and Chiangyao, J., Seismic Design and Analysis of Underground Structures, Tunn. Undergr. Space Technol., 2001, vol. 16, pp. 247–293.
2. Power, M., Rosidi, D., Kaneshiro, J., Gilstrap, S., and Chiou, S.J., Summary and Evaluation of Procedures for the Seismic Design of Tunnels, Final Report for Task 112-d-5.3 (c), National Center for Earthquake Eng. Res., Buffalo, New York, 1998.
3. Owen, G.N. and Sholl, R.E., Earthquake Engineering of Large Underground Structures, Report No. FHWA/RD-80/195, Federal Highway Administration and National Science Foundation, 1981.
4. Kawasima, K., Seismic Design of Underground Structures in Soft Ground, A Review, Geotechnical Aspects of Underground Construction in Soft Ground, Rottendam, Balkema, 2000.
5. Penzien, J., Seismically Induced Racking of Tunnel Linings, Earth. Eng. Struct Dyn., 2000, vol. 29, pp. 683–691.
6. Wang, J.N., Seismic Design of Tunnels: A Simple State of the Art Design Approach, Monograph 7, Parsons, Brinckerhoff, New York, 1993.
7. Lee, I.M. and An, D.J., Seismic Analysis of Tunnel Structures, Kor. Tunn. Undergr. Space Assoct., 2001, vol. 3, no. 4, pp. 3–15.
8. El Naggar, H., Hinchberger, S.D., and El Naggar, M.H., Simplified Analysis of Seismic In-Plane Stresses in Composite and Jointed Tunnel Linings, Soil Dyn. Earth. Eng., 2008, vol. 28, no. 12, pp. 1063–1077.
9. Amorosi, A. and Boldini, D., Numerical Modeling of the Transverse Dynamic Behavior of Circular Tunnels in Clayey Soil, Soil Dyn. Earth. Eng., 2009, vol. 29, no. 6, pp. 1059–1072.
10. Barros, F.C.P. and Luco, J.E., Diffraction of Obliquely Incident Waves by a Cylindrical Cavity Embedded in a Layered Viscoelastic Half Space, Soil Dyn. Earth. Eng., 1993, vol. 12, no. 3, pp. 159–171.
11. Jiang, L., Chen, J., and Li, J., Dynamic Response Analysis of Underground Utility Tunnel during the Propagation of Rayleigh Waves, Int. Conf. Pipeline Trenchless Technol. (ICPTT), Shanghai, China, 2009.
12. Smerzini, C., Aviles, J., Paolucci, R., and Sanchez-Sesma, F.J., Effect of Underground Cavities on Surface Earthquake Ground Motion under SH Wave Propagation, Earth. Eng. Struct. Dyn., 2009, vol. 38, no.12, pp. 1441–1460.
13. Wang, Z.Z., Gao, B., Jiang, Y.J., and Yuan, S., Investigation and Assessment on Mountain Tunnels and Geotechnical Damage after the Wenchuan Earthquake, Technol. Sci., 2009, vol. 52, no. 2, pp. 546–558.
14. Baziar, M.H., Moghadam, M.R., Kim, D.S., and Choo, Y.W., Effect of Underground Tunnel on the Ground Surface Acceleration, Tunn. Underg. Space Technol., 2014, vol. 44, pp. 10–22.
15. Soga, K., Laver, R.G., and Li, Z., Long-Term Tunnel Behavior and Ground Movements after Tunneling in Clayey Soils, Underg. Space, 2017, vol. 2, pp. 149–167.
16. Plaxis 3D. Reference Manual, Version 2013.
17. Bousbia, N. and Messast, S., Numerical Modeling of Two Parallel Tunnels Interaction Using Three-Dimensional Finite Element Method, Geom. Eng., 2015, vol. 9, no. 6, pp. 775–791.
18. Katona, M.C. and Zienkiewicz, O.C., A Unified Set of Single Step Algorithms. III. The Beta-M Method, a Generalization of the Newmark Scheme, Int. J. Numer. Methods Eng., 1985, vol. 21, no. 7, pp. 1345–1359.
19. Peck, R.B., Hendron, A.J., and Mohraz, B., State of the Art of Soft Ground Tunneling, Int. Proc. North Am. Rapid Excavation Tunneling Conf., Chicago, 1972, vol. 1., pp. 259–286.
20. Lysmer, J. and Kuhlemeyer, R.L., Finite Dynamic Model for Infinite Media, J. Eng. Mec. Div. ASCE., 1969, vol. 95, pp. 859–877.
21. Kausel, E. and Tassoulas, J.T., Transmitting Boundaries: A Closed-Form Comparison, Bull. Seismolog. Soc. Am., 1981, vol. 71, no. 1, pp. 143–159.
22. Sedarat, H., Kozak, A., Hashash, Y.M.A., Shamsabadi, A., and Krimotat, A., Contact Interface in Seismic Analysis of Circular Tunnels, Tunn. Underg. Space. Technol., 2009, vol. 24, pp. 482–490.
23. Kouretzis, G.P., Sloan, S.W., and Carter, J.P., Effect of Interface Friction on Tunnel Liner Internal Forces due to Seismic S- and P-Wave Propagation, Soil. Dyn. Earth. Eng., 2013, vol. 46, pp. 41–51.
24. Sandovala, E. and Bobetb, A., Seismic Response of Underground Structures under Undrained Loading with Excess Pore Pressures Accumulation, Tunn. Undergr. Space Technol., 2020, vol. 99, pp. 1–11.
25. Kontoe, S., Avgerinos, V., and Potts, D.M., Numerical Validation of Analytical Solutions and their Use for Equivalent-Linear Seismic Analysis of Circular Tunnels, Soil. Dyn. Earthq. Eng., 2014, vol. 66, pp. 206–219.
26. Hashash, Y.M.A., Park, D., and Yao, J.I.C., Ovaling Deformations of Circular Tunnels under Seismic Loading, an Update on Seismic Design and Analysis of Underground Structures, Tunn. Undergr. Space Technol., 2005, vol. 20, no. 5, pp. 435–441.


ROCK FAILURE


STABLE CREATED FRACTURE GROWTH BETWEEN TWO PARALLEL BOREHOLES
A. V. Patutin, A. V. Azarov, L. A. Rybalkin, A. N. Drobchik, and S. V. Serdyukov

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: patutin@misd.ru

The authors describe numerical modeling of a growing fracture created between two parallel boreholes in an isotropic medium in the nonuniform stress field. The fracture paths are modeled at various deviations of the initial fracture from the axes of boreholes, spacing of the boreholes and the compressive stress field between them. Physical simulation of hydraulic fracturing is implemented using large-size samples.

Hydraulic fracturing, stress field, fracture, parallel boreholes, mathematical modeling, physical experiment

DOI: 10.1134/S1062739122020041

REFERENCES
1. Rubtsova, E.V. and Skulkin, A.A., Hydraulic Fracturing Stress Measurement in Underground Salt Rock Mines at Upper Kama Deposit, IOP Conf. Series: Earth and Environ. Sci., 2018, vol. 134, 012049.
2. Yang, D., Ning, Z., Li, Y., Lv, Z., and Qiao, Y., In Situ Stress Measurement and Analysis of the Stress Accumulation Levels in Coal Mines in the Northern Ordos Basin, China, Int. J. Coal Sci. Technol., 2021, vol. 8, pp. 1336–1350.
3. Jeffrey, R., Mills, K., and Zhang, X., Experience and Results from Using Hydraulic Fracturing in Coal Mining, Proc. 3rd Int. Workshop on Mine Hazards Prevention and Control, Brisbane, 2013.
4. Plaksin, M.S. and Rodin, R.I., Improvement of Degasification Efficiency by Pulsed Injection of Water in Coal Seam, IOP Conf. Series: Earth and Environ. Sci., 2019, vol. 377, 012052.
5. Guanhua, N., Hongchao, X., Zhao, L., Lingxun, Z., and Yunyun, N., A New Technique for Preventing and Controlling Coal and Gas Outburst Hazard with Pulse Hydraulic Fracturing: A Case Study in Yuwu Coal Mine, China, Nat. Hazards, 2015, vol. 75, no. 3, pp. 2931–2946.
6. Lekontsev, Yu.М. and Sazhin, P.V., Problems of Controlling Poorly Caveable Roofs when Mining Gently Sloping Coal Seams, InterExpo Geo-Sibir, 2019, vol. 2, no. 4, pp. 162–169.
7. Yang, J., Liu, B., Bian, W., Chen, K., Wang, H., and Cao, C., Application Cumulative Tensile Explosions for Roof Cutting in Chinese Underground Coal Mines, Arch. Min. Sci., 2021, vol. 66, pp. 421–435.
8. Shilova, T., Patutin, A., and Serdyukov, S., Sealing Quality Increasing of Coal Seam Gas Drainage Wells by Barrier Screening Method, Int. Multidisciplinary Sci. GeoConference SGEM, 2013, vol. 1, pp. 701–708.
9. Liu, J., Liu, C., and Yao, Q., Mechanisms of Crack Initiation and Propagation in Dense Linear Multihole Directional Hydraulic Fracturing, Shock Vib., 2019, vol. 2019, 7953813.
10. Lu, W., Wang, Y., and Zhang, X., Numerical Simulation on the Basic Rules of Multihole Linear Codirectional Hydraulic Fracturing, Geofluids, 2020, 6497368.
11. Lu, W. and He, C., Numerical Simulation on the Effect of Pore Pressure Gradient on the Rules of Hydraulic Fracture Propagation, Energy Explor. Exploit., 2021, vol. 39, no. 6, pp. 1878–1893.
12. Cheng, Y., Lu, Z., Du, X., Zhang, X., and Zeng, M., A Crack Propagation Control Study of Directional Hydraulic Fracturing Based on Hydraulic Slotting and a Nonuniform Pore Pressure Field, Geofluids, 2020, 8814352.
13. Bai, Q., Liu, Z., Zhang, C. and Wang, F., Geometry Nature of Hydraulic Fracture Propagation from Oriented Perforations and Implications for Directional Hydraulic Fracturing, Comput. Geotech., 2020, vol. 125, 103682.
14. Bai, Q., Konietzky, H., Zhang, C., and Xia, B., Directional Hydraulic Fracturing (DHF) Using Oriented Perforations: The Role of Micro-Crack Heterogeneity, Comput. Geotech., 2021, vol. 140, 104471.
15. Cheng, Y., Lu, Y., Ge, Z., Cheng, L., Zheng, J., and Zhang, W., Experimental Study on Crack Propagation Control and Mechanism Analysis of Directional Hydraulic Fracturing, Fuel, 2018, vol. 218, pp. 316–324.
16. Lu, W. and He, C., Numerical Simulation of the Fracture Propagation of Linear Collaborative Directional Hydraulic Fracturing Controlled by Pre-Slotted Guide and Fracturing Boreholes, Eng. Fract. Mech., 2020, vol. 235, 107128.
17. Patutin, A.V., Martynyuk, P.A., and Serdyukov, S.V., Numerical Studies of Coal Bed Fracturing for Effective Methane Drainage, J. Siberian Federal University, Eng. and Technol., 2013, vol. 6, no. 1, pp. 75–82.
18. Belytschko, T., Chen, H., Xu, J., and Zi, G., Dynamic Crack Propagation Based on Loss of Hyperbolicity and a New Discontinuous Enrichment, Int. J. Numer. Meth. Eng., 2003, vol. 58, no. 12, pp. 1873–1905.
19. Song, J.H., Areias, P.M.A., and Belytschko, T., A Method for Dynamic Crack and Shear Band Propagation with Phantom Nodes, Int. J. Numer. Meth. Eng., 2006, vol. 67, no. 6, pp. 868–893.
20. Azarov, А.V., Kurlenya, М.V., Serdyukov, S.V., and Patutin, А.V., Features of Hydraulic Fracturing Propagation near Free Surface in Isotropic Poroelastic Medium, J. Min. Sci., 2019, vol. 55, no. 1, pp. 1–8.
21. Salimzadeh, S. and Khalili, N., A Three-Phase XFEM Model for Hydraulic Fracturing with Cohesive Crack Propagation, Comput. Geotech., 2015, vol. 69, pp. 82–92.
22. Serdyukov, S.V., Rybalkin, L.А., Drobchik, А.N., Patutin, А.V., and Shilova, Т.V., Laboratory Installation Simulating a Hydraulic Fracturing of Fractured Rock Mass, J. Min. Sci., 2020, vol. 56, no. 6, pp. 1053–1060.
23. Patutin, А.V., Rybalkin, L.А., and Drobchik, А.N., Development of a Device for Hydraulic Fracturing of Large-Size Samples in Laboratory Conditions, J. Fundament/ Appl. Min. Sci., vol. 8, no. 1, pp. 309–314.


MACRO-MESOSCOPIC FRAGMENTATION CHARACTERISTICS OF ROCK BENEATH DISC CUTTERS SUBJECTED TO THE THERMO-MECHANICAL COUPLING ACTION
Anthony Kojo Amoah, Kang-lei Song, and Hai-qing Yang

State Key Laboratory of Coal Mine Disaster Dynamics and Control, School of Civil Engineering, Chongqing University, Chongqing, 400045 China
e-mail: sklei@cqu.edu.cn
National Breeding Base of Technology and Innovation Platform for Automatic Monitoring of Geologic Hazards,
Chongqing Engineering Research Center of Automatic Monitoring for Geological Hazards, Chongqing, 400042 China

A series of laboratory cutter indentation tests were conducted on mudstone samples to study the influence of thermo-mechanical coupling on rock fragmentation. The experimental results show that many micro cracks and pores are formed in the crushed zone of rock sample due to the frictional heat during cutting process. After that, the relationships between specific energy and mesoscopic surface of mudstone samples were analyzed. The results show that the thermo-mechanical coupling is conductive to rock fragmentation. Therefore, thermo-mechanical coupling action in the tunneling process greatly improves the rock breaking efficiency. This study is conducive to extend cutter life, reduce project cost and construction risk in TBM tunnel project.

Thermo-mechanical coupling, crack propagation, field penetration index, specific energy, disc cutter

DOI: 10.1134/S1062739122020053

REFERENCES
1. Koyama, Y., Present Status and Technology of Shield Tunneling Method in Japan, Tunn. Undergr. Sp. Technol., 2003, vol. 18, nos. 2–3, pp. 145–159. https://doi.org/10.1016/S0886-7798(03)00040-3.
2. Yang, H.Q., Li, Z., Jie, T.Q., and Zhang, Z.Q., Effects of Joints on the Cutting Behavior of Disc Cutter Running on the Jointed Rock Mass, Tunn. Undergr. Sp. Technol., 2018, vol. 81, pp. 112–120. https://doi.org/10.1016/j.tust.2018.07.023.
3. Liu, B., Yang, H., and Karekal, S., Effect of Water Content on Argillization of Mudstone during the Tunneling Process, Rock Mech. Rock Eng., 2020, vol. 53, no. 2, pp. 799–813. https://doi.org/ 10.1007/s00603-019-01947-w.
4. Hudson, J.A., Stephansson, O., and Andersson, J., Guidance on Numerical Modeling of Thermo-Hydro-Mechanical Coupled Processes for Performance Assessment of Radioactive Waste Repositories, Int. J. Rock Mech. Min. Sci., 2005, vol. 42, nos. 5–6 SPEC. ISS, pp. 850–870. https://doi.org/10.1016/ j.ijrmms.2005.03.018.
5. Delisio, A., Zhao, J., and Einstein, H.H., Analysis and Prediction of TBM Performance in Blocky Rock Conditions at the Lotschberg Base Tunnel, Tunn. Undergr. Sp. Technol., 2013, vol. 33, pp. 131–142. https://doi.org/10.1016/j.tust.2012.06.015.
6. Liu, B., Yang, H., and Karekal, S., Reliability Analysis of TBM Disc Cutters under Different Conditions, Undergr. Sp., 2020. https://doi.org/10.1016/j.undsp.2020.01.001.
7. Nelson, P.P., TBM Performance Analysis with Reference to Rock Properties, Compr. Rock Eng., 1993, vol. 4, pp. 261–291. https://doi.org/10.1016/b978-0-08-042067-7.50017-9.
8. Wang, R., Hu, Z., Zhang, D., and Wang, Q., Propagation of the Stress Wave through the Filled Joint with Linear Viscoelastic Deformation Behavior Using Time-Domain Recursive Method, Rock Mech. Rock Eng., 2017, vol. 50, no. 12, pp. 3197–3207. https://doi.org/10.1007/s00603-017-1301-4.
9. Yang, H., Liu, J., and Liu, B., Investigation on the Cracking Character of Jointed Rock Mass beneath TBM Disc Cutter, Rock. Mech. Rock Eng., 2018, vol. 51, no. 4, pp. 1263–1277. https://doi.org/10.1007/ s00603-017-1395-8.
10. Zhao, J. and Gong, Q.M., Rock Mechanics and Excavation by Tunnel Boring Machine—Issues and Challenges, Rock Mech. in Undergr. Const., 2006, pp. 83–96. https://doi.org/10.1142/9789812772411_0007.
11. Gong, Q.M. and Zhao, J., Influence of Rock Brittleness on TBM Penetration Rate in Singapore Granite, Tunn. Undergr. Sp. Technol., 2007, vol. 22, no. 3, pp. 317–324. https://doi.org/10.1016/ j.tust.2006.07.004.
12. Howarth, D.F., Adamson, W.R., and Berndt, J.R., Correlation of Model Tunnel Boring and Drilling Machine Performances with Rock Properties, Int. J. Rock. Mech. Min. Sci., 1986, vol. 23, no. 2, pp. 171–175. https://doi.org/10.1016/0148-9062(86)90344-X.
13. Roxborough, F.F. and Phillips, H.R., Rock Excavation by Disc Cutter, Int. J. Rock Mech. Min. Sci., 1975, vol. 12, no. 12, pp. 361–366. https://doi.org/10.1016/0148-9062(75)90547-1.
14. Torabi, S.R., Shirazi, H., Hajali, H., and Monjezi, M., Study of the Influence of Geotechnical Parameters on the TBM Performance in Tehran-Shomal Highway Project Using ANN and SPSS, Arab J. Geosci., 2013, vol. 6, no. 4, pp. 1215–1227. https://doi.org/10.1007/s12517-011-0415-3.
15. Yagiz, S., Utilizing Rock Mass Properties for Predicting TBM Performance in Hard Rock Condition, Tunn. Undergr. Sp. Technol., 2008, vol. 23, no. 3, pp. 326–339. https://doi.org/10.1016/j.tust.2007.04.011.
16. Gong, Q.M. and Zhao, J., Development of a Rock Mass Characteristics Model for TBM Penetration Rate Prediction, Int. J. Rock. Mech. Min. Sci., 2009, vol. 46, no. 1, pp. 8–18. https://doi.org/10.1016/ j.ijrmms.2008.03.003.
17. Howarth, D.F., The Effect of Jointed and Fissured Rock on the Performance of Tunnel Boring Machines, Proc. of ISRM Int. Symp., 1981.
18. Bruland, A., Hard Rock Tunnel Boring, Vol. 8, Drillability—Test Methods, 2000. https://doi.org/ 10.13140/ RG.2.1.3363.4729.
19. Ates, U., Bilgin, N., and Copur, H., Estimating Torque, Thrust and Other Design Parameters of Different Type TBMs with some Criticism to TBMs Used in Turkish Tunneling Projects, Tunn. Undergr. Sp. Technol., 2014, vol. 40, pp. 46–63. https://doi.org/https://doi.org/10.1016/j.tust.2013.09.004.
20. Frough, O., Torabi, S.R., and Tajik, M., Evaluation of TBM Utilization Using Rock Mass Rating System: A Case Study of Karaj-Tehran Water Conveyance Tunnel (Lots 1 and 2), J. Min. Environ., 2012, vol. 3, no. 2, pp. 89–98. https://doi.org/10.22044/jme.2012.86.
21. Tuncdemir, H., Bilgin, N., Copur, H., and Balci, C., Control of Rock Cutting Efficiency by Muck Size, Int. J. Rock. Mech. Min. Sci., 2008, vol. 45, no. 2, pp. 278–288. https://doi.org/10.1016/j.ijrmms.2007.04.010.
22. Zhou, J., Qiu, Y., Zhu, S., Armaghani, D.J., Khandelwal, M., and Mohamad, E.T., Estimation of the TBM Advance Rate under Hard Rock Conditions Using XGBoost and Bayesian Optimization, Undergr. Sp., 2020. https://doi.org/10.1016/j.undsp.2020.05.008.
23. Song, L., Guo, W., and Zhu, D., Heat Conduction Model of TBM Disc Cutter Cutting Temperature and its Solution, IFToMM World Congr. Proceedings, IFToMM, 2015. https://doi.org/10.6567/ IFToMM.14TH.WC.FA.025.
24. Zhang, Z.X., Kou, S.Q., and Lindqvist, P.A., In-Situ Measurements of TBM Cutter Temperature in Aspo Hard Rock Laboratory, Sweden, Int. J. Rock. Mech. Min. Sci., 2001, vol. 38, no. 4, pp. 585–590. https://doi.org/10.1016/S1365-1609(01)00021-1.
25. Tan, Q., Zhang, G., Xia, Y., and Li, J., Differentiation and Analysis on Rock Breaking Characteristics of TBM Disc Cutter at Different Rock Temperatures, J. Cent South Univ., 2015, vol. 22, no. 12, pp. 4807–4818. https://doi.org/10.1007/s11771-015-3032-6.
26. Rostami, J., Development of a Force Estimation Model for Rock Fragmentation with Disc Cutters through Theoretical Modeling and Physical Measurement, Colorado School of Mines, 1997.
27. Macias, F.J., Dahl, F., and Bruland, A., New Rock Abrasivity Test Method for Tool Life Assessments on Hard Rock Tunnel Boring: the Rolling Indentation Abrasion Test (RIAT), Rock Mech. Rock. Eng., 2016, vol. 49, no. 5, pp. 1679–1693. https://doi.org/10.1007/s00603-015-0854-3.
28. Eppes, M.C. and Griffing, D., Granular Disintegration of Marble in Nature: A Thermal-Mechanical Origin for a Grus and Corestone Landscape, Geomorphology, 2010, vol. 117, nos. 1–2, pp. 170–180. https: //doi.org/ 10.1016/j.geomorph.2009.11.028.
29. Zhang, X., Xia, Y., Zhang, Y., Tan, Q., Zhu, Z., and Lin, L., Experimental Study on Wear Behaviors of TBM Disc Cutter Ring under Drying, Water and Seawater Conditions, Wear, 2017, vols. 392–393, pp. 109–117. https://doi.org/10.1016/j.wear.2017.09.020.
30. Gong, Q.M., Zhao, J., and Jiang, Y.S., In-Situ TBM Penetration Tests and Rock Mass Boreability Analysis in Hard Rock Tunnels, Tunn. Undergr. Sp. Technol., 2007, vol. 22, no. 3, pp. 303–316. https://doi.org/ 10.1016/j.tust.2006.07.003.
31. Hassanpour, J., Rostami, J., Khamehchiyan, M., and Bruland, A., Developing New Equations for TBM Performance Prediction in Carbonate-Argillaceous Rocks: A Case History of Nowsood Water Conveyance Tunnel, Geomech. Geoengin., 2009, vol. 4, no. 4, pp. 287–297. https://doi.org/10.1080/ 17486020903174303.
32. Hassanpour, J., Rostami, J., Khamehchiyan, M., Bruland, A., and Tavakoli, H.R., TBM Performance Analysis in Pyroclastic Rocks: A Case History of Karaj Water Conveyance Tunnel, Rock. Mech. Rock. Eng., 2010, vol. 43, no. 4, pp. 427–445. https://doi.org/10.1007/s00603-009-0060-2.
33. Hassanpour, J., Rostami, J., and Zhao, J., A New Hard Rock TBM Performance Prediction Model for Project Planning, Tunn. Undergr. Sp. Technol., 2011, vol. 26, no. 5, pp. 595–603. https://doi.org/10.1016/ j.tust.2011.04.004.
34. Xue, Y., Zhao, F., Zhao H., Li, X., and Diao, Z., A New Method for Selecting Hard Rock TBM Tunneling Parameters Using Optimum Energy: A Case Study, Tunn. Undergr. Sp. Technol., 2018, vol. 78, pp. 64–75. https://doi.org/10.1016/j.tust.2018.03.030.
35. Yang, H., Liu, B., and Karekal, S., Experimental Investigation on Infrared Radiation Features of Fracturing Process in Jointed Rock under Concentrated Load, Int. J. Rock. Mech. Min. Sci., 2021, vol. 139, p. 104619. https://doi.org/https://doi.org/10.1016/j.ijrmms.2021.104619.


MINERAL MINING TECHNOLOGY


SPECIFICS OF INTERNAL OVERBURDEN DUMPING IN OPEN PIT MINING
V. I. Cheskidov and A. V. Reznik

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: cheskid@misd.ru

The authors discuss the application ranges of internal overburden dumping open pit mining. Specifics of internal overburden dumping on gently and steeply dipping beds is given. Internal overburden dumps are classified. The methods and techniques of scaled-up internal overburden dumping by means of efficient utilization of mined-out pit area are identified. The ecological safety of dumping is addressed.

Deposit, minerals, open pit mining, internal dumping, overburden, mined-out area, ecological safety

DOI: 10.1134/S1062739122020065

REFERENCES
1. Dergachev, A.L. and Starostin, V.I., Trends of Development in the Mineral Mining Sector at the Turn of Centuries, Vestnik MGU, 2018, Series 4: Geology, no. 1, pp. 4–9.
2. Fortier S. M., Thomas C. L., McCullough E. A. et al. Global Trends in Mineral Commodities for Advanced Technologies, Natural Resources Research, 2018, vol. 27, pp. 191–200.
3. Rosstat. Basic Indexes of the Environmental Protection, Stat. Byull., 2021.
4. Zharikov, V.P., Ermoshkin, V.V., Kleimenov, R.G., Sound Land Utilization during Dumping and Hydraulic Filling in Open Pit Mines in Kuzbass, Vestn. KuzGTU, 2011, no. 1, pp. 34–36.
5. Kurlenya, M.V., Medvedev, M.L., and Koldyrev, Yu.I., Mining Technology for Open Pit Bottom with Internal Dumping on Steeply Dipping Seams, GIAB, 2008, no. 9, pp. 214–228.
6. Dmitrienko, A.I., Prospects of Internal Dumping in Open Pit Mine 1 of the Central Mining-and-Processing Integrated Works, Ekolog. Prirodopol’z., 2003, no. 6.
7. Kurekhin, E.V., Flowsheets of Overburden Dumping in Mined-Out Void of Adjacent Open Pit, Izv. TPU. Inzhiniring Georesursov, 2017, vol. 328, no. 5, pp. 67–82.
8. Gabitov, R.M., Gavrishev, S.E., Bondareva, A.R., Kuznetsova, T.S., and Litvinov, A.M., Influence of Geotechnical Conditions of Steep-Dipping Deposits on Internal Dumping in the Late Phase and Reconstruction of Open Pit Mines, Vestn. MGTU, 2009, no. 1, pp. 1–6.
9. Zaitseva, A.A. and Zaitsev, G.D., Influence of Geological and Technological Factors on the Internal Dump Capacity in Flat Deposits, Journal of Mining Science, 2009, vol. 45, no. 4, Article 380.
10. Cheskidov, V.I., Norri, V.K., and Sakantsev, G.G., Diversification of Open Pit Coal Mining with Draglining, Journal of Mining Science, 2014, vol. 50, no. 4, pp. 690–695.
11. Reznik, A.V., Rational Use of Quarry Water When Mining Watered Lignite Deposits in the Kansk–Achinsk Basin, J. Fundament. Appl. Min. Sci., 2020, vol. 7, vol. 7, no. 2, pp. 36–43. DOI: 10.15372/FPVGN2020070206.
12. Cheskidov, V.I., Gavrilov, V.L., Reznik, A.V., and Bobyl’sky, A.S., The Bakchar Ironstone Deposit: Mining Conditions and Technologies, Journal of Mining Science, 2021, vol. 57, no. 5, pp. 795–804.


FACE STABILITY IN HEAVY CLAY: THEORY AND PRACTICE
M. O. Lebedev, M. A. Karasev, N. A. Belyakov, and L. A. Basova

Lenmetrogiprotrans Research, Design and Exploration Institute, Saint-Petersburg, 191002 Russia
e-mail: MLebedev@lmgt.ru
Saint-Petersburg Mining University, Saint-Petersburg, 199106 Russia
e-mail: Karasev_MA@pers.spmi.ru
e-mail: Belyakov_NA@pers.spmi.ru
e-mail: s205051@stud.spmi.ru

The authors focus on feasibility of reducing deformation of surrounding rock mass around underground structures by means of advanced reinforcement of tunnel faces in claystone. The reinforcement efficiency is estimated in 3D calculations. The factors to influence deformation in rock mass ahead of a tunnel faces include: rock bolt length, rock bolting system stiffness and the bolt pattern. An additional factor of concern is the mechanical characteristics of claystone. The implemented research shows the highest influence is exerted on deformation in rock mass by the bolt pattern and the rock bolting system stiffness. The efficient design of advanced rock bolting is determined.

Tunnels, rock deformation, advanced face reinforcement, fiberglass rock bolts, numerical modeling

DOI: 10.1134/S1062739122020077

REFERENCES
1. Novozhenin, S.Yu., Stress–Strain Behavior of Rock Mass During Construction of Escalator Tunnel at the Admilarteiskay Station of the Saint-Petersburg Metro, Zap. Gorn. Inst., 2012, vol. 196, pp. 84–88.
2. Gospodarikov, A.P. and Maksimenko, M.V., An Approach to the Stress–Strain Analysis with Regard to Nonlinear Deformation of Rock Mass, Zap. Gorn. Inst., 2013, vol. 205, pp. 60–63.
3. Demenkov, P.A., Goldobina, L.A., and Trushko, O.V., Prediction Method of Ground Surface Deformation in Excavation Reinforcement by the Diaphragm Wall in the Conditions of Urban Development, Zap. Gorn. Inst., 2018, vol. 233, pp. 480–486.
4. Spackova, O., Risk Management of Tunnel Construction Projects, Doctorial Thesis, Czech Technical University in Prague, 2012.
5. Catalogue of Notable Tunnel Failures—Case Histories (up to April 2015).
6. The Risk to Third Parties from Bored Tunneling in Soft Ground—Research Report 453, Health & Safety Executive, HSE Books, Sudbury, Suffolk, GB, 2006.
7. Ocak, I., Control of Surface Settlements with Umbrella Arch Method in Second Stage Excavations of Istanbul Metro, Tunn. Undergr. Space Technol., 2008, vol. 23, pp. 674–681.
8. Wang, Z., Wang, L.Z., Wan, J.C., and Li, L.L., Case study on the Rehabilitation of a Damaged Underwater Tunnel in the Construction Phase, J. of Performance of Constructed Facilities, 2014.
9. Hisatake, M. and Ohno, S., Effects of Pipe Roof Supports and the Excavation Method on the Displacements above a Tunnel Face, Tunn. Undergr. Space Technol., 2008, vol. 23, pp. 120–127.
10. Juneja, A., Hegde, A., Lee, F.H., and Yeo, C.H., Centrifuge Modeling of Tunnel Face Reinforcement Using Forepoling, Tunn. Undergr. Space Technol., 2010, vol. 25, pp. 377–381.
11. Wong, K.S., Ng, C.W.W., Chen, Y.M., and Bian, X.C., Centrifuge and Numerical Investigation of Passive Failure of Tunnel Face in Sand, Tunn. Undergr. Space Technol., 2012, vol. 28, pp. 297–303.
12. Aksoy, C.O. and Onargan, T., The Role of Umbrella Arch and Face Bolt as Deformation Preventing Support System in Preventing Building Damages, Tunn. Undergr. Space Technol., 2010, vol. 25, pp. 553–559.
13. Zhang, Z.Q., Li, H.Y., Liu, H.Y., Li, G.J., and Shi, X.Q., Load Transferring Mechanism of Pipe Umbrella Support in Shallow-Buried Tunnels, Tunn. Undergr. Space Technol., 2014, vol. 43, pp. 213–221.
14. Kamata, H. and Mashimo, H., Centrifuge Model Test of Tunnel Face Reinforcement by Bolting, Tunn. Undergr. Space Technol., 2003, vol. 18, pp. 205–212.
15. Jahangir, E. and Monnet, A., Preliminary 3D Modeling of Structural Behavior of Face Bolting and Umbrella Arch in Tunneling, Technical Report January, 2014. DOI: 10.13140/2.1.4256.4169.
16. Lunardie, P., Design and Construction of Tunnels. Analysis of Controlled Deformation in Rocks and Soils (ADECO-RS), Springer, 2008.
17. Yoo, C. and Shin, H.K., Deformation Behavior of Tunnel Face Reinforced with Longitudinal Pipes—Laboratory and Numerical Investigation, Tunn. Undergr. Space Technol., 2003, vol. 18, pp. 303–319.
18. Li, B., Hong, Y., Gao, B., Qi, T.Y., and Zhou, J.M., Numerical Parametric Study on Stability and Deformation of Tunnel Face Reinforced with Face Bolts, Tunn. Undergr. Space Technol., 2015, vol. 47, pp. 73–80.
19. Ng, C.W. . and Lee, G.T.K., A Three-Dimensional Parametric Study of the Use of Soil Nails for Stabilizing Tunnel Faces, Comput. Geotech., 2002, vol. 29, pp. 673–697.
20. Lebedev, M.O., Karasev, M.A., and Belyakov, N.A., Effect of Tunnel Crown Reinforcement on Geomechanical Behavior of Rock Mass, Izv. Vuzov. Gorn. Zh., 2016, no. 3, pp. 24–32.
21. Calvello, M. and Taylor, R.N., Centrifuge Modeling of a Spile-Reinforced Tunnel Heading, Proc. Geotechnical Aspect Underground Construction Soft Ground, 1999, pp. 313–318.
22. Li, X.Z., Field and Numerical Investigation of Open-Face Tunneling in Soft Rock Reinforced by Face Bolting, Ph. D. Thesis, Chang’an University, China, 2007.
23. Karasev, M.A., Protosenya, A.G., and Petrov, D.N., Investigating Mechanical Properties of Argillaceous Grounds in Order to Improve Safety of Development of Megapolis Underground Space, Int. J. Appl. Eng. Res., 2016, vol. 11, pp. 8849–8956.
24. Bezrodnyi, K.P., Saln, A.I., Maslak, V.A., Markov, V.A., and Lebedev, M.O., Practice of Introduction of No-Subsidence Construction Technologies in the Saint-Petersburg Metro, Zap. Gorn. Inst., 2012, vol. 199, pp. 190–195.
25. Karasev, M.A. and Belyakov, N.A., Prediction of Ground Surface Deformation in Construction of Subway Stations in Hard Clay, Izv. TulGU. Nauki o Zemle, 2016, no. 1, pp. 139–155.


MINE AEROGASDYNAMICS


CALCULATING DISPERSION OF AIR POLLUTANTS IN MINES
M. A. Semin, A. G. Isaevich, N. A. Trushkova, S. A. Bublik, and B. P. Kazakov

Mining Institute, Ural Branch, Russian Academy of Sciences, Perm, 614007 Russia
e-mail: seminma@inbox.ru
e-mail: aero_alex@mail.ru

The reference sources on calculation of toxic gas and dust flows in systems of mine roadways are reviewed. It is shown that the calculation should take into account convection and longitudinal dispersion, while molecular and turbulent diffusion in straight-line roadways can be neglected. However, in case of vortex mixture of air in dead-air spaces at junctions in mines, the turbulent diffusion can be comparable with the longitudinal dispersion. The authors propose a calculation formula for the effective longitudinal dispersion coefficient with regard to the influence of air flow velocities in neighbor roadways. The algorithm of nonstationary flow of air pollutants in mine roadways uses the method of splitting by physical processes.

Mine ventilation, modeling, air pollutants, gas diffusion, longitudinal dispersion coefficient

DOI: 10.1134/S1062739122020089

REFERENCES
1. Mal’tsev, S.V., Kazakov, B.P., and Semin, M.A., Methods to Enhance Ventilation Efficiency in Mines with Complex Airing Systems, Izv. TGU. Earth Sciences, 2019, no. 4, pp. 283–291.
2. Kobylkin, S.S. and Kobylkin, A.S., 3D Modeling in Engineering Design of Mine Rescue Work Tactics, Gornyi Zhurnal, 2018, no. 5, pp. 82–85.
3. Kobylkin, S.S., Methodological Framework for the System Design of Mine Ventilation, Dr. Eng. Dissertation, Moscow: NUST MISIS, 2018.
4. Krasnoshtein, A.E. and Fainburg, G.Z., Diffuzionno-setevye metody rascheta provetrivaniya shakht I rudnikov (Diffusion Network Calculation of Mine Ventilation), Sverdlovsk: UrO RAN, 1992.
5. Vengerov, I.R., Teplofizika shakht i rudnikov. Matematicheskie modeli. T. 1. Analiz paradigmy (Mine Thermophysics. Mathematical Models. Vol. 1. Paradigm), Donetsk: Nord-press, 2008.
6. Vardy, A.E. and Brown, J.M.B., Transient Turbulent Friction in Smooth Pipe Flows, J. Sound Vibration, 2003, vol. 259, no. 5, pp. 1011–1036.
7. Laigna, K.Y. and Potter, E.A., Methods for Determining the Coefficients of Turbulent Diffusion in Mine Ventilation Streams, Sov. Min., 1983, vol. 19, no. 3, pp. 230–235.
8. Taylor, G.I., The Dispersion of Matter in Turbulent Flow through a Pipe, Proc. of the Royal Society of London, Series A, Mathem. Phys. Sci., 1954, vol. 223, no. 1155, pp. 446–468.
9. Garbaruk, A.V., Lapin, Yu.V., and Strelets, M.Kh., Simple Algebraic Model of Turbulent to Calculate a Turbulent Boundary Layer with a Positive Pressure Gradient, Teplofiz. Vysok. Temper., 1999, vol. 37, no. 1, pp. 87–91.
10. Arpa, G., Sasaki, K., and Sugai, Y., Narrow Vein Shrinkage Stope Ventilation Measurement Using Tracer Gas and Numerical Simulation, The 12th US/North American Mine Ventilation Symp., Reno, 2008, pp. 261–266.
11. Widiatmojo, A., Sasaki, K., Widodo, N.P., Sugai, Y., Sinaga, J., and Yusuf, H., Numerical Simulation to Evaluate Gas Diffusion of Turbulent Flow in Mine Ventilation System, Int. J. Min. Sci. Technol., 2013, vol. 23, no. 3, pp. 349–355.
12. Wallace, K., Prosser, B., and Stinnette, J.D., The Practice of Mine Ventilation Engineering, Int. J. Min. Sci. Technol., 2015, vol. 25, no. 2, pp. 165–169.
13. Kai, W., Aitao, Z., and Shan, L., Computer Simulation of Dynamic Influence of Outburst Gas Flow on Mine Ventilation Network, Disaster Advances, 2013, vol. 19, pp. 31–38.
14. Dziurzynski, W. and Krawczyk, J., Unsteady Flow of Gases in a Mine Ventilation Network—A Numerical Simulation, Archives Min. Sci., 2001, vol. 46, no. 2, pp. 119–137.
15. Zhou, A. and Wang, K., A Transient Model for Airflow Stabilization Induced by Gas Accumulations in a Mine Ventilation Network, J. Loss Prevention Process Industries, 2017, vol. 47, pp. 104–109.
16. Hart, J., Guymer, I., Jones, A., and Stovin, V., Longitudinal Dispersion Coefficients within Turbulent and Transitional Pipe Flow, Experimental and Computational Solutions of Hydraulic Problems, Springer, Berlin, Heidelberg, 2013, pp. 133–145.
17. Zhou, A. and Wang, K., Role of Gas Ventilation Pressure on the Stability of Airway Airflow in Underground Ventilation, J. Min. Sci., 2018, vol. 54, no. 1, pp. 111–119.
18. Krasnoshtein, A.E., Kazakov, B.P., and Shalimov, A.V., Modeling Nonstationary Gas Admixture Flow in Excavations under Recirculating Airing, Journal of Mining Science, 2006, vol. 42, no. 1, pp. 85–90.
19. Zaitsev, A.V., Kazakov, B.P., Kashnikov, A.V., Kormshchikov, D.S., Kruglov, Yu.V., Levin, L.Yu., Mal’kov, P.S., and Shalimov, A.V., State Registration Certificate no. 2015610589. AeroSet: Analytical Computer Software, Byull. Izobret., 2015.
20. Semin, M.A., Isaevich, A.G., and Zhikharev, S.Ya., The Analysis of Potash Salt Dust Deposition in Roadways, Journal of Mining Science, 2021, vol. 57, no. 2, pp. 341–353.
21. Shalimov, A.V., Theoretical Framework of Prediction, Prevention and Combating Accidents and After-Effects in Mine Ventilation, Dr. Eng. Dissertation, 2012.
22. Zhou, A., Wang, K., Wu, L., and Xiao, Y., Influence of Gas Ventilation Pressure on the Stability of Airways Airflow, Int. J. Min. Sci. Technol., 2018, vol. 28, no. 2, pp. 297–301.
23. Voevodin, A.F. and Goncharova, O.N., Method of Decomposition by Physical Processes in Convection Calculations, Matemat. Modelir., 20019, vol. 13, no. 5, pp. 90–96.
24. Witek, M.L., Teixeira, J., and Flatau, P.J., On stable and Explicit Numerical Methods for the Advection–Diffusion Equation, Mathem. Comp. Simulation, 2008, vol. 79, no. 3, pp. 561–570.
25. Samarskii, A.A. and Gulin, A.V., Stability of Difference Schemes, Moscow: URSS, 2005.
26. Levin, L.Yu. and Semin, M.A., Influence of Shock Losses on Air Distribution in Underground Mine, Journal of Mining Science, 2019, vol. 55, no. 2, pp. 287–296.


MINERAL DRESSING


HYDROPHOBIC INTERACTIONS IN THE DIAMOND–ORGANIC LIQUID–INORGANIC LUMINOPHORE SYSTEM IN MODIFICATION OF SPECTRAL AND KINETIC CHARACTERISTICS OF DIAMONDS
V. V. Morozov, V. A. Chanturia, G. P. Dvoichenkova, and E. L. Chanturia

Academician Melnikov Research Institute of Comprehensive Exploitation of Mineral Resources–IPKON, Russian Academy of Sciences, Moscow, 111020 Russia
e-mail: dvoigp@mail.ru

The authors studied theoretically and experimentally the compositions of luminophores in modification of spectral characteristics of anomalously luminescent diamonds to the effect of their recovery. Attachment of a luminophore-bearing composition at the diamond crystal surface takes place owing to the stable aggregation of the diamond, organic liquid and inorganic luminophores by the mechanism of hydrophobic interaction in polar medium. Stability of such aggregates is ensured by intense adhesion of the components having similar surface energy. For diamond and zinc sulfide, the dependence of the wetting angle, generated by the organic liquid drops in the water medium, on the surface tension of the organic phase exhibits the extreme nature. By the coordinate of the maximum of the wetting angle–organic liquid surface energy curve, the surface energy of diamond and zinc sulfide is determined. It is proved that the organic liquids and oil products, which are used as organic collectors and have surface energies similar to the luminophore surface energy, maximize the force of hydrophobic interaction and stability of the diamond–organic liquid–inorganic luminophore aggregate.

Diamonds, X-ray luminescence separation, luminophores, composition, organic collector, hydrophobic interactions, spectral and kinetic characteristics, modification

DOI: 10.1134/S1062739122020090

REFERENCES
1. Chanturia, V.A., Dvoichenkova, G.P., Morozov, V.V., Yakovlev, V.N., Koval’chuk, О.Е., and Podkamennyi, Yu.A., Experimental Substantiation of Luminophore-Containing Compositions for Extraction of Nonluminescent Diamonds, J. Min. Sci., 2019, vol. 55, no. 1, pp. 116–123.
2. Chanturia, V.A., Dvoichenkova, G.P., Morozov, V.V., Koval’chuk, О.Е., Podkamennyi, Yu.A., and Yakovlev, V.N., Selective Attachment of Luminophore-Bearing Emulsion at Diamonds—Mechanism Analysis and Mode Selection, J. Min. Sci., 2020, vol. 56, no. 1, pp. 96–103.
3. Tanford, C., The Hydrophobic Effect, Wiley, New York, 1980.
4. Tsao, Y., Yang, S.X., and Evans, D.F., Interaction between Hydrophobic Surfaces. Dependence on Temperature and Alkyl Chain Length, Langmuir, 1991, vol. 7, no. 12, pp. 3154–3159.
5. Pchelin, V.А., Gidrofobnye vzaimodeystviya v dispersnykh sistemakh (Hydrophobic Interactions in Disperse Systems), Moscow: Znanie, 1976.
6. Griffith, J.H. and Scheraga, H.A., Statistical Thermodynamics of Aqueous Solutions. I. Water Structure, Solutions with Non-Polar Solutes, and Hydrophobic Interactions, J. Molecular Structure: Theo­chem, 2004, vol. 682, pp. 97–113.
7. Deryabin, V.А. and Farafontova, Е.P., Fizicheskaya khimiya dispersnykh system: ucheb. posobie pod red. E. A. Kuleshova (Physical Chemistry of Disperse Systems: Textbook Edited by E. А. Kuleshov), Moscow: Yurait, 2018.
8. Gurevich, I.L., Obshchiye svoystva i pervichnye metody pererabotki nefti i gaza. Ch. 1 (General Properties and Primary Methods of Oil and Gas Processing. Part 1), Moscow: Khimiya, 1972.
9. Gallamova, А.Е., Surface Tension Dependence on Temperature at Different Interfaces, Vest. Nauki, 2010, no. 5, pp. 174–180.
10. Bibik, E.E., Bykova, L.M., Vavilov, V.G. et al., Novyi spravochnik khimika i tekhnologa: obshchie svedeniya. Stroenie veshchestva. Fizicheskie svoistva vazhneishikh veshchestv. Aromaticheskie soedineniya. Khimiya fotograficheskikh protsessov. Nomenklatura organicheskikh soedineniy. Tekhnika laboratornykh rabot. Osnovy tekhnologii. Intellektual’naya sobstvennost’ (New Chemist’s and Technologist’s Handnbook: General Information. Structure of Matter. Physical Properties of Most Important Substances. Aromatic Compounds. Chemistry of Photographic Processes. Nomenclature of Organic Compounds. Technique of Laboratory Work. Fundamentals of Technology. Intellectual Property), Saint Petersburg: Professional, 2006.
11. Gazem, A., Rabeeh, M.D., Shahbaz, M.D., Laheb, M., Kumar, S., and Dr. Rajesh Kanna, A., Surface and Interfacial Tension for Various Liquids, Int. Refereed J. Eng. Sci. (IRJES), 2018, vol. 7, iss. 1, pp. 64–66.
12. Lange’s Handbook of Chemistry, 17th Ed. by James Speight, McGraw-Hill Education, 2016.
13. Melik-Gaikazyan, V.I., Emelyanova, V.M., Moiseev, А.А., Emelyanov, V.V., Emelyanova, N.P., Yushina, Т.I., and Kuleshova, М.А., Capillary Mechanism of Reagents in Froth Flotation, Development of Methods for its Study and Selection of Reagents, GIAB, 2008, no. 9, pp. 228–235.
14. Vinogradova, G.N. and Zakharov, V.V., Osnovy milroskopii. Ch. 2 (Fundamentals of Microscopy. Part 2), Saint Petersburg, Universitet ITMO, 2020.
15. Kiselev, М.G., Savich, V.V., and Pavich, Т.P., Wetting Angle Determination on Plane Surfaces, Nauka i Tekhnika, 2006, no. 1, pp. 38–41.
16. Demchenko, A.P., Introduction to Fluorescence Sensing. Volume 1: Materials and Devices, Springer, New York, 2020.
17. Polyus-M Separator. Certificate and Operating Manual, Saint Petersburg: AO Burevestnik, 2018.
18. Summ, B.D., Osnovy kolloidnoi khimii (Fundamentals of Colloidal Chemistry), Moscow: Akademiya, 2009.
19. Ostrovskaya, L.Yu., Pashinin, A.S., Ral’chenko, V.G., Boinovich, L.B., Ashkinazi, E.E., and Bol’shakov, A.P., Wetting of Low Index Diamond Facets: Dynamic Measurements, Zhurn. Fiz. Khimii, 2014, vol. 88, no. 5, pp. 822–829.
20. Ostrovskaya, L.Yu., Ral’chenko, V.G., Vlasov, I.I., Khomich, A.A., and Bol’shakov, A.P., Hydrophobic Diamond Films, Protection of Metals and Physical Chemistry of Surfaces, 2013, vol. 49, pp. 325–331.
21. Ostrovskaya, L.Yu., Dementiev, A.P., Kulakova, I.I., and Ral’chenko, V.G., Chemical State and Wettability of Ion-Irradiated Diamond Surfaces, Diamond Related Materials, 2005, vol. 14, pp. 486–490.
22. Hansen, J.O., Copperthwaite, R.G., Derry, T.E., and Pratt, J.M., A Tensiometric Study of Diamond (111) and (110) Faces, J. Colloid Interface Sci., 1989, vol. 130, no. 2, pp. 347–358.
23. Jung, M., Critical Surface Tension of Sulfide Minerals, Materials Sci. J. Korean Society Mineral Energy Res. Eng., 2019, vol. 56, no. 6, pp. 605–612.
24. Ozcan, O., Classification of Minerals according to their Critical Surface-Tension of Wetting Values, Int. J. Miner. Proc., 1992, vol. 34, no. 3, pp. 191–204.
25. Kolmachikhina, E.B., Lugovitskaya, Т.N., and Naumov, К.D., Static Wetting Angles of Water and Sulfur on Zinc Sulfide Surface Modified with Anionic Surfactants and their Compositions, Tsvet. Metally, 2021, no. 4, pp. 29–34.
26. So Tu, Increasing the Efficiency of Sphalerite Flotation from Copper-Zinc Ores by Thiol Collectors Based on the Analysis of Kinetics and Fractional Selectivity of Air-Dispersed Phase Mineralization, Cand. Tech. Sci. Thesis, 2016.
27. Morozov, V.V., Pestryak, I.V., and Erdenezuul, Zh., Influence of Concentration of Nonionic Collector—Allyl Ester of Amylxanthogenic Acid on Copper-Molybdenum Ore Flotation, Tsvet. Metally, 2018, no. 11, pp. 14–20.
28. Zisman, W.A., Relation of the Equilibrium Contact Angle to Liquid and Solid Constitution, Advances in Chemistry, 1964, vol. 43, pp. 1–51.


COLLECTABILITY OF XANTHATES IN PRECIPITATION OF HEAVY METALS
T. G. Gavrilova and S. A. Kondrat’ev

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: kondr@misd.ru

The authors undertake a critical analysis of zinc flotation activation mechanisms, namely, ion exchange and electrochemical, and propose a new mechanism of activation of sphalerite flotation by heavy metal ions. Flotation can be activated by physisorption of the collector in the unit event of particle–bubble attachment. The causes of floatability of sphalerite activated by lead ions in the alkali range of pH are disclosed. The characteristic of zinc as a metal–activator consists in high solvability of zinc and xanthate compounds. The conditions of improved floatability of sphalerite after its activation by zinc ions are determined.

Flotation, flotation activation, heavy metal ions, physisorbed collector action

DOI: 10.1134/S1062739122020107

REFERENCES
1. Houot, R. and Raveneau, P., Activation of Sphalerite Flotation in the Presence of Lead Ions, Int. J. Miner. Process., 1992, vol. 35, pp. 253–271.
2. Basilio, C.I., Kartio, I.J., and Yoon, R.H., Lead Activation of Sphalerite during Galena Flotation, Miner. Eng., 1996, vol. 9, no. 8, pp. 869–879.
3. Kakovskiy, I.А., Study of Physicochemical Properties of Some Organic Flotation Agents and Their Salts with Ions of Nonferrous Heavy Metals, Trudy IGD AN SSSR, Vol. III, Moscow, 1956, pp. 255–289.
4. Rashchi, F., Sui, C., and Finch, J.A., Sphalerite Activation and Surface Pb Ion Concentration, Int. J. Miner. Process., 2002, vol. 67, pp. 43–58.
5. Liu, J., Ejtemaei, M., Nguyen, A.V., Wen, S., and Zeng, Y., Surface Chemistry of Pb-Activated Sphalerite, Miner. Eng., 2020, vol. 145, 106058.
6. Plaksin, I.N., Shafeev, R.Sh., and Chanturia, V.А., Relationship between the Energy Structure of Mineral Crystals and Their Flotation Properties, Proc. of the 8th Int. Congress on Mineral Dressing, Leningrad: Mekhanobr, 1969, vol. 2, pp. 235–345.
7. Maust, E.E. and Richardson, P.E., Electrophysical Considerations of the Activation of Sphalerite for Flotation, U.S. Bureau of Mines Report of Investigation 8108, 1976.
8. Bessiere, J., Chlihp, K., and Thiebaut, J.M., Dielectric Study of the Activation and Deactivation of Sphalerite by Metallic Ions, Int. J. Miner. Process., 1990, vol. 28, pp. 1–13.
9. Richardson, P.E., Hu, Q., Finkelstein, N.P., and Yoon, R.H., An Electrochemical Method for the Study of the Flotation Chemistry of Sphalerite, Int. J. Miner. Process., 1994, vol. 41, pp. 71–76.
10. Morey, M.S., Grano, S.R., Ralston, J., Prestidge, C.A., and Verity, B., The Electrochemistry of Pb(II) Activated Sphalerite in Relation to Flotation, Miner. Eng., 2001, vol. 14, no. 9, pp. 1009–1017.
11. Steininger, J., The Depression of Sphalerite and Pyrite by Basic Complexes of Copper and Sulfhydryl Flotation Collectors, Transactions of the American Institute of Min., Metallurgical and Petroleum Eng., 1968, vol. 241, no. 1, pp. 34–42.
12. Zhang, Q., Xu, Z., Bozkurt, V., and Finch, J.A., Pyrite Flotation in the Presence of Metal Ions and Sphalerite, Int. J. Miner. Process., 1997, vol. 52, pp. 187–201.
13. Zhang, Q., Rao, S.R., and Finch, J.A., Flotation of Sphalerite in the Presence of Iron Ions, Colloids and Surfaces, 1992, vol. 66, pp. 81–89.
14. Trahar, W.J., Senior, G.D., Heyes, G.W., and Creed, M.D., The Activation of Sphalerite by Lead—a Flotation Perspective, Int. J. Miner. Process., 1997, vol. 49, pp. 121–148.
15. Fuerstenau, M.C., Clifford, K.L., and Kuhn, M.C., The Role of Zinc—Xanthate Precipitation in Sphalerite Flotation, Int. J. Miner. Process., 1974, vol. 1, pp. 307–318.
16. Kondrat’ev, S.А., Collectability and Selectivity of Flotation Agent, Journal of Mining Science, 2021, vol. 57, no. 3, pp. 480–492.
17. Yoon, R.H. and Ravishankar, S., Long-Range Hydrophobic Forces between Mica Surfaces in Dodecylammonium Chloride Solution in the Presence of Dodecanol, J. Colloid Interface Sci., 1996, vol. 179, no 2, pp. 391–402.
18. Vorob’ev, S.А., Burdakova, Е.А., Sarycheva, А.А., Volochaev, М.N., Karacharov, А.А., Likhatskii, М.N., and Mikhlin, Yu.L., Analysis of Fumction of Copper Sulfide Nanoparticles as Sphalerite Flotation Activator, J. Min. Sci., 2021, vol. 57, no. 1, pp. 144–153.
19. Bocharov, V.А. and Sorokin, М.М., Issledovanie tekhnologii kompleksnoi pererabotki rud tsvetnykh metallov: Laboratornyi praktikum (Study of Technologies for Complex Processing of Nonferrous Metal Ores: Laboratory Workshop), Moscow: MISiS, 1998.
20. Zhang, Y.H., Wu, L.M., Huang, P.P., Shen, Q., and Sun, Z.X., Determination and Application of the Solubility Product of Metal Xanthate in Mineral Flotation and Heavy Metal Removal in Wastewater Treatment, Miner. Eng., 2018, vol. 127, pp. 67–73.
21. Kondrat’ev, S.А. and Konovalov, I.A., Effect of Physisorption of Collecting Agent on Flotation of Pyrite in the Presence of Fe2+ and Fe3+ Ions, Journal of Mining Science, 2022, vol. 58, no. 1, pp. 105–114.


STIMULATION OF LEACHING OF RARE EARTH ELEMENTS FROM ASH AND SLAG BY ENERGY IMPACTS
V. A. Chanturia, V. G. Minenko, A. L. Samusev, E. V. Koporulina, and G. A. Kozhevnikov

Academician Melnikov Research Institute of Comprehensive Exploitation of Mineral
Resources–IPKON, Russian Academy of Sciences, Moscow, 111020 Russia
e-mail: andrey63vzm@mail.ru

The authors describe the studies into nitrate leaching of rare earth elements (REE) from ash and slag. The morphology, texture and structure of surface of ash and slag micro spheres are examined using the methods of scanning electron microscopy and X-ray phase analysis. The experimental efficient parameters of nitric leaching of REE, which ensure the maximum REE extraction at the level of 50.4% include: the temperature of 130 °С, the nitric acid concentration of 7.2 M, the leaching duration of 180 min and the mineral suspension stirring frequency of 500 min–1. The REE leaching kinetics conforms with the pore-diffusion model of nucleus shrinkage. It is possible to stimulate REE leaching by preliminary treatment of ash and slag by powerful electromagnetic impulses and ultrasound, which ensures intense disintegration of aluminosilicate micro spheres and, as a consequence, provides increased extraction of REE in subsequent leaching by 1.8–18.2%.

Ash and slag, rare earth elements, leaching, efficient parameters, kinetics, energy impacts

DOI: 10.1134/S1062739122020119

REFERENCES
1. Brahim, J.A., Hak, S.A., Achiou, B., Boulif, R., Beniazza, R., and Benhid, R., Kinetics and Mechanisms of Leaching of Rare Earth Elements from Secondary Resources, Miner. Eng., 2022, vol. 177, 107351.
2. Binnemans, K., Jones, P.T., Blanpain, B., Van Gerven, T., and Pontikes, Y., Towards Zero-Waste Valorization of Rare-Earth-Containing Industrial Process Residues: A Critical Review, J. Clean. Prod., 2015, vol. 99, pp. 17–38.
3. Wang, N., Sun, X., Zhao, Q., Yang, Y., and Wang, P., Leachability and Adverse Effects of Coal Fly Ash: A Review, J. Hazard. Mater., 2020, vol. 396, pp. 122–725.
4. Blissett, R.S., Smalley, N., and Rowson, N.A., An Investigation into Six Coal Fly Ashes from the United Kingdom and Poland to Evaluate Rare Earth Element Content, Fuel, 2014, vol. 119, pp. 236–239.
5. Seredin, V.V., Rare Earth Element-Bbearing Coals from the Russian Far East Deposits, Int. J. Coal Geol., 1996, vol. 430, pp. 101–129.
6. Myazin, V.P., Shumilova, L.V., Razmakhnin, К.К., and Bogidaev, S.А., Integrated Processing of Ash and Slag from Thermal Power Plants in Eastern Transbaikalia, J. Min. Sci., 2018, vol. 54, no. 5, pp. 845–857.
7. Razmakhnin, К.К., Processing of Natural Zeolites Used in Filters of Thermal Power Plants in Transbaikalia, Ekomonitoring. Ekol. Effektivnost, 2014, no. 10.
8. Xu, M., Yan, R., Zheng, C., Qiao, Y., Han, J., and Sheng, C., Status of Trace Element Emission in a Coal Combustion Process: A Review, Fuel Proc. Technol., 2003, vol. 85, nos. 2–3, pp. 215–237.
9. Ksenofontov, B.S., Butorova, I.A., Kozodaev, A.S., Afonin, A.V., and Taranov, R.A., Problems of Toxicity of Ash and Slag Waste, Ecologiya i promyshlennost’ Rossii, 2017, vol. 21, no. 2, pp. 4–9.
10. Behera, S.K., Meena, H., Chakraborty, S., and Meikap, B.C., Application of Response Surface Methodology (RSM) for Optimization of Leaching Parameters for Ash Reduction from Low-Grade Coal, Int. J. Min. Sci. Technol., 2018, vol. 28, no. 4, pp. 621–629.
11. Yang, B., Cheng, C., Li, Y., Cheng, W., Zang, J., Lai, X., and Wang, X., Modes of Occurrence and Pre-Concentration of Rare Earth Elements in No. 17 Coal in Liupanshui Coalfield, China, J. Rare Earths, 2021.
12. Hower, J.C., Groppo, J.G., Hsu-Kim, H., and Taggart, R.K., Distribution of Rare Earth Elements in Fly Ash Derived from the Combustion of Illinois Basin Coals, Fuel, 2021, vol. 289, 119990.
13. Anferov, B.A. and Kuznetsova, L.V., Integrated Use of Kuznetsk Coal in Multi-Stage Preparation for Combustion and Recovery of Waste, J. Min. Sci., 2019, vol. 55, no. 2, pp. 257–263.
14. Rimkevich, V.S., Sorokin, А.P., Pushkin, А.А., and Girenko, I.V., Physicochemical Analysis of Distribution of Useful Components in Waste in the Thermal Energy Sector, J. Min. Sci., 2020, vol. 56, no. 3, pp. 464–476.
15. Dosmukhamedov, N.К., Kaplan, V.A., and Daruesh, G.S., Innovative Technology for Integrated Processing of Ash from Coal Combustion, Ugol’, 2020, no. 1 (1126), pp. 58–63.
16. Blaida, I.А., Vasil’eva, Т.V., Slyusarenko, L.I., and Khitrich, V.F., The Behavior of Germanium and Gallium in the Processing of Ash from Coal Combustion by Chemical and Microbiological Methods, Izv. Vuzov. Seriya: Khimiya i khim. tekhnol., 2014, vol. 57, no. 1, pp. 78–83.
17. Ksenofontov, B.S., Kozodaev, A.S., Taranov, R.A., Vinogradov, М.S., Senik, Е.V., and Voropaeva, А.А., Leaching of Rare Earth Metals from Coal Ash and their Concentration, Bezopasnost’ v tekhnosfere, 2016, vol. 5, no. 1, pp. 48–55.
18. Ksenofontov, B.S., Butorova, I.A., Kozodaev, A.S., Afonin, A.V., and Taranov, R.A., Problems of Toxicity of Ash and Slag Waste, Ecologiya i promyshlennost’ Rossii, 2017, vol. 21, no. 2, pp. 4–9.
19. Rimkevich, V.S., Pushkin, А.А., and Girenko, I.V., Development of a Hydrochemical Method for the Enrichment of Ash Industrial Waste from Thermal Power Plants, Fundamental’nye Issledovaniya, 2015, no. 2 (23), pp. 5156–5160.
20. Chanturia, V.A., Minenko, V.G., Samusev, A.L., Chanturia, E.L., Koporulina, E.V., Bunin, I.Zh., and Ryazantseva, M.V., The Effect of Energy Impacts on the Acid Leaching of Eudialyte Concentrate, Mineral Proc. Extractive Metallurgy Rev., 2021, vol. 42, no. 7, pp. 1–12.
21. Bunin, I.Zh., Ryazantseva, M.V., Minenko, V.G., and Samusev, A.L., Influence of High-Power Electromagnetic Pulse Impacts on the Structural and Chemical Properties and Leaching Efficiency of Eudialyte Concentrate, Obogashch. Rud, 2021, no. 5, pp. 15–20.
22. Levenspiel, O., Chemical Reaction Engineering, Copyright© John Wiley and Sons Inc., 1999.
23. Davison, R.L., Natusch, D.F., Wallace, J.R., and Evans Jr.C., Trace Elements in Fly Ash. Dependence of Concentration on Particle Size, Environmental Sci. Technol., 1974, vol. 8, no. 13, pp. 1107–1113.
24. Makanyire, T., Jha, A., and Sutcliffe, S., Kinetics of Hydrochloric Acid Leaching of Niobium from TiO2 Residues, Int. J. Miner. Process., 2016, vol. 157 (suppl. C), pp. 1–6.
25. Arroug, L., Elaatmani, M., Zegzouti, A., and Aitbabram, M., Low-Grade Phosphate Tailings Beneficiation via Organic Acid Leaching: Process Optimization and Kinetic Studies, Minerals, 2021, vol. 11, no. 5, p. 492.
26. Galbreath, K.C., Toman, D.L., Zygarlicke, C.J., and Pavlish, J.H., Trace Element Partitioning and Transformations during Combustion of Bituminous and Subbituminous U. S. Coals in a 7-kW Combustion System, Energy Fuel, 2000, vol. 14, no. 6, pp. 1265–1279.
27. Meij, R., Trace Element Behavior in Coal-Fired Power Plants, Fuel Proc. Technol., 1994, vol. 39, nos. 1–3, pp. 199–217.
28. Meij, R. and Winkel, H., The Emissions of Heavy Metals and Persistent Organic Pollutants from Modern Coal Fired Power Stations, Atmospheric Environment, 2007, vol. 41, no. 40, pp. 9262–9272.
29. Kashiwakura, S., Kumagai, Y., Kubo, H., and Wagatsuma, K., Dissolution of Rare Earth Elements from Coal Fly Ash Particles in a Dilute H2SO4, Solvent Open J. Phys. Chem., 2013, vol. 3, pp. 69–75.
30. Taghavi, M., Gharabaghi, M., and Shafaie, S.Z., Selective Leaching of Low-Grade Phosphate Ore Using a Mixture of Organic Acids, Int. J. Min. Geo-Eng., 2020, vol. 54, pp. 65–70.
31. Wu, D., Wang, X., and Li, D., Extraction Kinetics of Sc(III), Y(III), La(III) and Gd(III) from Chloride Medium by Cyanex 302 in Heptane Using the Constant Interfacial Cell with Laminar Flow, Chem. Eng. Process. Process. Intensif., 2007, vol. 46, pp. 17–24.
32. Elpiner, I.Е., Biofizika ul’trazvuka (Biophysics of Ultrasound), Moscow: Nauka, 1973.


ANALYSIS OF OXIDATION OF SULFIDE MINERALS IN COPPER–NICKEL DEPOSITS
S. V. Mal’tsev, I. I. Chaikovskii E. L. Grishin, and A. G. Isaevich

Mining Institute, Ural Branch, Russian Academy of Sciences, Perm, 614007 Russia
e-mail: stasmalcev32@gmail.com

The oxidation-induced alteration of properties of sulfide minerals is analyzed. The air-and-gas content and thermodynamic parameters of mine air are experimentally investigated as a case-study of blind roadways in sulfide deposits at a depth of 300–1500 m. The microclimate conditions of sulfide ore oxidation are determined and used in design of two laboratory testing machines with oxidation in a bubbling chamber. It is found that oxidation of sulfides runs more violently in air saturated with steam than in water saturated with oxygen. The tests included two oxidation scenarios: oxygen sorption in surface layer and sulfur oxidation with leaching of metal. On the surface of sulfide ore samples, heterotrophic and chemolitotrophic bacteria which can absorb oxygen from mine air are detected. The highest number of the bacteria is present on the surface of high-grade ore.

Oxidation, sulfide ore, air and gas control, maximum allowable concentration, microbiological studies, heterotrophic bacteria, chemolitotrophic bacteria, geochemical properties of ore

DOI: 10.1134/S1062739122020120

REFERENCES
1. Federal’nye normy i pravila v oblasti promyshlennoi bezopasnosti “Pravila bezopasnosti pri vedenii gornykh rabot i pererabotke tverdykh poleznykh iskopayemykh”. Utverzhdeny prikazom Federal’noi sluzhby po ekologicheskomu, tekhnologicheskomu i atomnomu nadzoru ot 08.12.2020 g. no. 505, 2021 (Federal Standards and Rules in the Field of Industrial Safety: Safety Rules for Mining and Processing of Solid Minerals. Approved by the Order of the Federal Service for Ecological, Technological and Nuclear Supervision on 08.12.2020, no. 505, 2020).
2. Levin, L.Yu., Kormshchikov, D.S., and Grishin, Е.L., Investigation of the Processes of Changing the Mine Atmosphere to Determine the Causes of a Group Accident that Occurred at One of the Mines of the Russian Federation, Gorn. Ekho, 2020, no. 3, pp. 115–119.
3. Masloboev, V.A., Seleznev, S.G., Makarov, D.V., and Svetlov, А.V., Assessment of Eco-Hazard of Copper-Nickel Ore Mining and Processing Waste, J. Min. Sci., 2014, vol. 50, no. 3, pp. 559–572.
4. Bocharov, V.А., About Sorption of Oxygen on the Surface of Sulfides and Thermodynamic Assessment of Their Oxidizability in Water Solutions, Tsvet. Metally, 1970, no. 3, pp. 76–78.
5. Lowson, R.T., Aqueous Oxidation of Pyrite by Molecular Oxygen, Chem. Rev., 1982, no. 5, pp. 461–497.
6. Ponomarev, V.D. and Ponomareva, Е.I., Shchelochnye gidrokhimicheskie sposoby pererabotki polimetallicheskikh produktov (Alkaline Hydrochemical Techniques for the Processing of Polymetallic Products), Alma-Ata: Nauka, 1969.
7. O’Brien, D.J. and Birkner, F.B., Kinetics of Oxygenation of Reduced Sulfur Species in Aqueous Solution, Env. Sci. Technol., 1977, vol. 1, no. 12, pp. 1114–1120.
8. Shaw, S.C., Groat, L.A., Jambor, J.L., Blowes, D.W., Hanton-Fong, C.J., and Stuparyk, R.A., Mineralogical Study of Base Metal Tailings with Various Sulfide Contents, Oxidized in Laboratory Columns and Field Lysimeters, Env. Geol., 1998, vol. 33, nos. 2–3, pp. 209–217.
9. Sveshnikov, G.B., Elektrokhimicheskie protsessy na sul’fidnykh mestorozhdeniyakh (Electrochemical Processes in Sulfide Deposits), Leningrad: LGU, 1967.
10. Chanturia, V.А. and Vigdergauz, V.Е., Elektrokhimiya sul’fidov: teoriya i praktika flotatsii (Sulfide Electrochemistry: Theory and Practice of Flotation), Moscow: Ruda i Metally, 2008.
11. Karavaiko, G.I., Kuznetsov, S.I., and Golomzik, А.I., Rol’ mikroorganizmov v vyshchelachivanii metallov iz rud (The Role of Microorganisms in the Leaching of Metals from Ores), Moscow: Nauka, 1972.
12. Lyalikova, N.N., The Role of Bacteria in the Oxidation of Sulfide Ores, Trudy Instistuta mikrobiologii AN SSSR, no. 9, pp. 134–143, Moscow: AN SSSR, 1961.
13. Pol’kin, S.I., Adamov, E.V., and Panin, V.V., Tekhnologiya bakterial’nogo vyshchelachivaniya tsvetnykh i redkikh metallov (Technology of Bacterial Leaching of Nonferrous and Rare Metals), Moscow: Nedra, 1982.
14. Yakhontova, L.К. and Zvereva, V.P., Osnovy mineralogii gipergeneza (Fundamentals of Mineralogy of Hypergenesis), Vladivostok: Dal’nauka, 2000.
15. Ausbel, F.M., Brent, R., Kingston, R.E., Moore, D.D., Seidman, J.G., Smith, J.A., and Struhl, K. (eds.), Short Protocols in Molecular Biology, John Wiley & Sons, New York, 1995.
16. Bashlykova, Т.V., Pakhomova, G.А., Lagov, B.S., Zhivaeva, А.B., Doroshenko, М.V., Makavetskas, А.R., and Shul’ga, Т.О., Tekhnologicheskie aspekty ratsional’nogo nedropol’zovaniya. Rol’ tekhnologicheskoi otsenki v razvitii i upravlenii mineral’no-syr’yevoi bazoi strany (Technological Aspects of Rational Subsoil Use. The Role of Technological Assessment in the Development and Management of the National Mineral Resources), Moscow: MISIS, 2005.
17. Khomchenkova, А.S., Studying the Effect of Different Concentrations of Heavy Metal Salts on the Growth of a Culture of Acidophilic Chemolithotrophic Microorganisms, GIAB, special iss. no. 31 Kamchatka-3, 2016, no. 11, pp. 217–222.
18. RD 52.24.405-2018. Massovaya kontsentratsiya sul’fatov v vodakh. Metodika izmerenii turbidimetricheskim metodom: utverzhdena Rosgidrometom ot 17.08.2018 g., no. 358, 2018 (Guiding Document 52.24.405-2018. Mass Concentration of Sulfates in Waters. Turbidimetric Measuring Method: Approved by Rosgidromet on 17.08.2018, no. 358, 2018).
19. RD 52.24.483-2005. Massovaya kontsentratsiya sul’fatov v vodakh. Metodika vypolneniya izmerenii gravimetricheskim metodom: utverzhdena Rosgidrometom ot 01.01.2005 g., 2005 (Guiding Document 52.24.483-2005. Mass Concentration of Sulfates in Waters. Gravimetric Measurement Method: Approved by Rosgidromet on 01.01.2005, 2005).


SEPARATION OF FLUORITE MINERAL FROM ITS ORE BY FLOTATION METHOD AND OPTIMAL USE OF CHEMICAL REAGENTS
M. B. E. Andargoli, S. Moshrefi, and M. Mortazavi

Savadkooh Branch, Islamic Azad University, Savadkooh, Iran
e-mail: mb.eslami@iausk.ac.ir

The article presents the case-study of flotation of fluorite ore from Kamarposht mine, Iran. The flotation tests allowed optimization of consumption of chemical reagents. The recommended process conditions enable production of flotation concentrate at fluorite content of 61.4% and fluorite recovery of 85.88%.

Fluorite, flotation, petrography, chemical reagents, Kamarposht mine

DOI: 10.1134/S1062739122020132

REFERENCES
1. Zabihitabar, S. and Shafiei, B., Mineralogy and Mode Occurrence of Sulfides, Sulfates and Carbonates at Fluorite Mines in East of Mazandaran Province, Iranian J. Geol., 2015, vol. 33, no. 1, pp. 62–78.
2. Mehraban, Z., Shafiei, B., and Shamanian, G.H., Rare Earths in Fluorite Deposits of Elika Formation (East of Mazandaran Province), Iranian J. Econ. Geol., 2016, vol. 8, no. 1, pp. 201–221.
3. Zhang, G., Gao, Y., Chen, W., and Liu, D., The Role of Water Glass in the Flotation Separation of Fine Fluorite from Fine Quartz, Miner., 2017, vol. 7, no. 9, pp. 157–168.
4. Iskra, J., Gutierrez, C., and Kitchener, J.A., Influence of Quebracho on the Flotation of Fluorite, Calcite, Hematite, and Quartz with Oleate as Collector, Trans. Int. Min. Met., 1973, pp. 73–78.
5. Hu, J.S., Misra, M., and Miller, J.D., Characterization of Adsorbed Oleate Species at the Fluorite Surface by FTIR Spectroscopy, Int. J. Miner. Process., 1986, vol. 8, nos. 1–2, pp. 73–84.
6. Leeuw, N.H., Parker, S.C., and Rao, K.H., Modeling the Competitive Adsorption of Water and Methanoic Acid on Calcite and Fluorite Surfaces, Langmuir, 1998, vol. 14, pp. 5900–5906.
7. Zhou, W., Moreno, J., Torres, R., Valle, H., and Song, S., Flotation of Fluorite from Ores by Using Acidized Water Glass as Depressant, Miner. Eng., 2013, vol. 45, pp. 142–145.
8. Aliaga, W., Sampaio, C.H., Brum, I.A.S., Ferreira, K.R.S., and Batistella, M.A., Flotation of High-Grade Fluorite in a Short Column under Negative Bias Regime, Miner. Eng., 2006, vol. 19, pp. 1393–1396.
9. Chennakesavulu, K., Raju, G.B., Prabhakar, S., Nair, C.M., and Murthy, K.V.G.K., Adsorption of Oleate on Fluorite Surface as Revealed by Atomic Force Microscopy, Int. J. Miner. Process., 2009, vol. 90, pp. 101–104.
10. Wang, X., Liu, J., and Miller, J.D., Adsorption and Self-Assembly of Octyl Hydroxamic Acid at a Fluorite Surface as Revealed by Sum-Frequency Vibrational Spectroscopy, J. Colloid Interface Sci., 2008, vol. 325, pp. 398–403.
11. Song, S., Lopez-Valdivieso, A., Martinez-Martinez, C., and Torres-Armenta, R., Improving Fluorite Flotation from Ores by Dispersion Processing, Miner. Eng., 2006, vol. 19, pp. 912–917.
12. Zhang, Y. and Song, S., Beneficiation of Fluorite by Flotation in a New Chemical Scheme, Miner. Eng., 2003, vol. 16, pp. 597–10.
13. Keqing, F., Nguyen, A.V., and Miller, J.D., Interaction of Calcium Dioleate Collector Colloids with Calcite and Fluorite Surfaces as Revealed by AFM Force Measurements and Molecular Dynamics Simulation, Int. J. Miner. Process., 2006, vol. 81, pp. 166–177.
14. Fa, K., Jiang, T., Nalaskowski, J., and Miller, J.D., Interaction Forces between a Calcium Dioleate Sphere and Calcite/Fluorite Surfaces and their Significance in Flotation, Langmuir, 2003, vol. 16, 10253.
15. Ching, Y.H., Shang, L.L., Wen, H.K., and Yu, D.L., Treatment of High Fluoride-Content Wastewater by Continuous Electrocoagulation–Flotation System with Bipolar Aluminum Electrodes, Sep. Purif. Technol., 2008, vol. 60, pp. 1–5.
16. The Report of Geology and Exploitation of Kamarposht Fluorite Mining, Archive of Cooperation Company of Mazandaran Fluorite, 1996.
17. Nabiloo, F., Shafiei, B., and Amini, A., Diagenetic and Post-Diagenetic Fabrics in the Kamarposht Fluorite Mine (East of Mazandaran Province): Explanation and Genetic Interpretation, J. Econ. Geol., 2017, vol. 9, no. 2, pp. 483–507.
18. Mahdavi, M., Shafiei, B., Amini, A., and Rasoli, M., Dolomites and Breccia in Kamarposht Fluorite Mine, Elika Formation, Central Alborz, Iranian J. Geol., 2019, vol. 12, pp. 47–62.


GEOINFORMATION SCIENCE


A STUDY FOR THE PROTECTION OF GROUNDWATER PRODUCTION ZONES FROM POLLUTING SOURCES USING GIS-INTEGRATED VULNERABILITY TECHNIQUE
C. Simsek, M. Kuruoglu, and Z. Demirkiran

Torbali Technical Vocational School of Higher Education, Dokuz Eylul University, Torbali Campus, Izmir, 35860 Turkey
e-mail: celalettin@deu.edu.tr
e-mail: zulfu.demirkiran@deu.edu.tr
Department of Civil Engineering, Dokuz Eylul University, Tinaztepe Campus, Izmir, 35390 Turkey
e-mail: mehmet.kuruoglu@deu.edu.tr

The main objectives of this study are to determine the highly productive aquifer zones using the GIS-integrated vulnerability technique and to assess the protection of these productive zones from the pollution sources such as industrial and residential areas nearby a river system. This study was performed in Kucuk Menderes River Basin (KMRB) located in the western part of Turkey, which has a significant groundwater potential and includes highly productive agricultural land and some of the largest industrial establishments. According to the results, the western part of the study area has notably high aquifer potential used by industrial and residential areas, whereas the eastern part of the study area has lower aquifer potential used by productive agricultural land. However, urbanization and industrial areas are expanding in high groundwater potential zones. It means that regional water resources will be at great risk in terms of quantity and quality. Therefore, this study is aimed in assisting both the determination of protection zones in the main aquifer system and to help planning the future site selection of land use for the river basin.

Groundwater potential, aquifer system, groundwater protection, land use planning, GIS, vulnerability technique

DOI: 10.1134/S1062739122020144

REFERENCES
1. Kacaroglu, F. and Gunay, G., Impacts of Human Activities on Groundwater Quality on an Alluvial Aquifer; A Case Study: Eskisehir Plain in Turkey, Hydrogeology J., 1997, vol. 5, no. 3, pp. 60–70. DOI: 10.1007/s100400050257.
2. Nas, B. and Berktay, A., Groundwater Contamination by Nitrates in the City of Konya (Turkey); A GIS Perspective, J. Environ. Manage., 2006, vol. 79, pp. 30–37. DOI: 10.1016/ j.jenvman.2005.05.0.10.
3. Simsek, C., Gemici, U., and Filiz, S., An Assessment of Surficial Aquifer Vulnerability and Groundwater Pollution from a Hazardous Landfill Site: Torbali/Turkey, Geosciences J., 2008, vol. 12, pp. 69–82. DOI: 10.1007/s12303-008-0009-6
4. Ibe, K.M. and Agbamu, P.U., Impacts of Human Activities on Groundwater Quality of an Alluvial Aquifer: A Case Study of the Warri River, Delta State, SW, Nigeria, Int. J. of Environmental Health Research, 2010, vol. 9, pp. 329–334.
5. Regulation of the Conservation and Management Plans Preparation of the Water Basin, Official Gazette (Republic of Turkey), 2012, no. 28444.
6. Murray, K.S. and Roger, D.T., Groundwater Vulnerability, Brownfield Redevelopment and Land Use Planning, J. Environ. Planning and Manage., 1999, vol. 42, pp. 801–810. DOI: 10.1080/ 09640569910830.
7. Berg, R.C., Curry, B.B., and Olshansky, B., Tools for Groundwater Protection Planning: An Example from McHenry County, Illinois, USA, Environ. Manage., 1999, vol. 23, pp.321–31.
8. Aller, L., Bennett, T., Lehr, J.H., Petty, R.J, and Hackett, G., DRASTIC: A Standardized System for Eva-luating Groundwater Pollution Potential Using Hydrogeological Settings, Prepared for the US Environ, Protection Agency, Office of Research and Development, EPA-600/2-87-035, National Water Well Association, Dublin, OH, 1987.
9. Foster, S.S.D., Groundwater Recharge and Pollution Vulnerability of British Aquifers: A Critical Overview, Geological Society Special Publication, London, 1998, vol. 130, pp. 23–35.
10. Civita, M.V., Groundwater Vulnerability Maps to Contamination: Theory and Practice, Pitagora Editrice, Bologna, 1994.
11. Edet, A.E., Vulnerability Evaluation of a Coastal Plain and Aquifer with a Case Example from Calabar, Southeastern Nigeria, Environ. Geology, 2004, vol. 45, pp.1062–1070. DOI: 10.1007/s00254-004-0964-9.
12. Simsek, A., Kincal, C., and Gunduz, O., A Solid Waste Disposal Site Selection Procedure Based on Groundwater Vulnerability Mapping, Environ. Geology, 2006, vol. 49, pp. 620–633. DOI: 10.1007/s00254-005-0111-2.
13. Sree Devi, P.D., Srinivasulu, S., and Kesava Raju, K., Hydro-Geomorphological and Groundwater Prospects of the Paregu River Basin by Using Remote Sensing Data, Environ. Geology, 2001, vol. 40, pp. 1088–1094. DOI: 10.1007/s002540100295.
14. Shankar, M.N.R. and Mohan, G., Assessment of the Groundwater Potential and Quality in Bhatsa and Kalu River Basins of Thane District, Western Deccan Volcanic Province of India, Environ. Geology, 2006, vol. 49, pp. 990–998. DOI: 10.1007/s00254-005-0137-5.
15. Etterazzini, S., Groundwater Potentiality Index: A Strategically Conceived Tool for Water Research in Fractured Aquifers, Environ. Geology, 2006, vol. 52, pp. 477–487. DOI: 10.1007/s00254-006-0481-0.
16. Rao, N.S., Groundwater Potential Index in a Crystalline Terrain Using Remote Sensing Data, Environ. Geology, 2006, vol. 50, pp. 1067–1076. DOI: 10.1007/s00254-006-0280-7.
17. Cai, X., McKinney, D., and Lasdon, L., Integrated Hydrologic-Agronomic-Economic Model for River Basin Management, J. Water Resour. Plann. Manage., 2003, vol. 129, pp. 4–17. DOI: 10.1061 (ASCE)0733-9496(2003)129:1(4).
18. Mekki, I., Jacob, F., Marlet, S., and Ghazouani, W., Management of Groundwater Resources in Relation to Oasis Sustainability: The Case of the Nefzawa Region in Tunisia, J. Environ. Manage., 2013, vol. 121, pp. 142–151. DOI: 10.1006/j.jenvman.2013.02.0.41.
19. Bekele, E.B., Salama, R.B., Commander, D.P., Otto, C.J., Hick, W.P., Watson, G.D, Pollock, D.W., and Lambert, P.A., Estimation of Groundwater Recharge to the Parmelia Aquifer in the Northern Perth Basin 2001–2002; CSIRO Land and Water Technical Report 10/03, 2003.
20. Dimitriou, E. and Zacharias, I., Groundwater Vulnerability and Risk Mapping in a Geologically Complex Area by Using Stable Isotopes, Remote Sensing and GIS Techniques, Environ. Geology, 2006, vol. 51, pp. 309–323. DOI: 10.1007/s00254-006-0328-8.
21. Simsek, C. and Gunduz, O., IWQ Index: A GIS-Integrated Technique to Assess Irrigation Water Quality, Environ. Monitoring and Assessment, 2007, vol. 128, pp. 277–300. DOI: 10.1007/s10661-006-9312-8.
22. Demircioglu, M. and Down, J., The Utility of Vulnerability Maps and GIS in Groundwater Management: A Case Study, Turkish J. Earth. Sci., 2014, vol. 23, pp. 80–90.
23. Demirkesen, A.C., Budak, S., Simsek, C., and Baba, A., Investigation of Groundwater Potential and Groundwater Pollution Risk Using the Multi-Criteria Method: A Case Study (the Alasehir Sub-Basin, Western Turkey), Arabian J. Geosciences, 13:10, art. 2020, vol. 385, pp. 1–15.
24. DSI. Hydrogeology of Kucuk Menderes Plain, State Hydraulic Works of Turkey (DSI), Department of Groundwater and Geotechnical Planning in Izmir, 1973.
25. Yazicigil, H., Doyuran, V., Karahanoglu, N., Camur, Z., Toprak, V., Rojay, B., Y?lmaz, K.K., Sakiyan, J., Suzen, M.L. and Yesilnacar, E., Evaluation and Management Project of Kucuk Menderes River Basin Groundwaters within the Scope of Hydrogeological Investigations, State Hydraulic Works (DSI), Geotechnical Services and Groundwaters Division, Ankara, METU-AGUDOS 98-03-09-01-01, 2000.
26. DMI. Meteorological Data of Izmir (Guzelyali) and Adnan Menderes Airport Meteorological Stations, State Meteorological Service, Ankara, 2010.
27. Sen, Z., Applied Hydrogeology for Scientists and Engineers, Lewis Publ., New York, 1995.
28. USGS. Factors Affecting Specific-Capacity Tests and Their Application—A Study of Six Low-Yielding Wells in Fractured-Bedrock Aquifers in Pennsylvania, Scientific Invest. Series, 2010, pp. 2010–5212.
29. Winter, T.C., Harvey, J.W., Franke, O.L., and Alley, W.M., Ground Water and Surface Water, a Single Resource, U.S. Geological Survey Circular, 1998, vol. 1139. https://doi.org/10.3133/cir1139.
30. Simsek, C., Demirkesen, A.C., Baba, A., Kumanlioglu, A., Durukan, S., Aksoy, N., Demirkiran, Z., Hasozbek, A., Murathan, A., and Tayfur, G., Estimation Groundwater Total Recharge and Discharge Using GIS-Integrated Water Level Fluctuation Method: A Case Study from the Alasehir Alluvial Aquifer, Western Anatolia, Turkey, Arabian J. of Geosciences, 2020, 13:3, art. 143, 1–14.
31. Eskisar, T., Kuruoglu, M., Altun, S., Ozyalin, S., and Yilmaz, H.R., Site Response of Deep Alluvial Deposits in the Northern Coast of Izmir Bay (Turkey) and a Microzonation Study Based on Geotechnical Aspects, Eng. Geology, 2014, 172:8, pp. 95–116. DOI: 10.1016/j.enggeo.2014.01.006.
32. Simsek, C., The GIS Integrated Surficial Aquifer Potential Mapping and its Importance for Aquifer Protection, Kucuk Menderes Basin/Western Turkey, Int. Congress on River Basin Management, Antalya, Proceedings Book, 2007.
33. Nazarova, L.A. and Nazarov, L.A., Geomechanical and Hydrodynamic Fields in Producing Formation in the Vicinity of Well with Regard to Rock Mass Permeability-Effective Stress Relationship, J. Min. Sci., 2018, vol. 54, no. 4, pp. 541–549.
34. Sakiyan, J. and Yazicigil, H., Sustainable Development and Management of an Aquifer System in Western Turkey, Hydrogeology J., 2004, vol. 12, pp. 66–80. DOI: 10.1007/s10040-003-0315-z.
35. Trenberth, K.E., Jones, P.D., Ambenje, P., Bojariu, R., Easterling, D., Klein Tank, A., Parker, D., Rahimzadeh, F., Renwick, J.A., Rusticucci, M., Soden, B., and Zhai, P., Observations: Surface and Atmospheric Climate Change, Climate Change 2007: The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom, 2007.
36. Gunduz, O. and Simsek, C., Influence of Climate Change on Shallow Groundwater Resources: The Link between Precipitation and Groundwater Levels in Alluvial Systems, Book Chapter 25. Climate Change and its Effects on Water Resources, NATO Science for Peace and Security Series C: Environmental Security 3, Springer Science+Business Media B.V., 2011.
37. DMI. Precipitation, Evaporation, Run-off and Recharge Data of Meteorological Stations in the Western Turkey, State Meteorological Service, Ankara, 2020.
38. TSWCR. Solid Waste Control Regulation. Ministry of Environment and Forestry of Turkey, Official Gazette, 2002, no. 24736, Ankara, Turkey.
39. Emre, T. and Sozbilir, H., Tectonic Evolution of the Kiraz Basin: Kucuk Menderes Graben: Evidence for Compression/Uplift Related Basin Formation Overprinted by Extensional Tectonics in Western Anatolia, Turkish J. of Earth Sci., 2007, vol. 16, pp. 441–470.
40. WMO, River Basin Management Project of Kucuk Menderes Basin, General Directorate of Water Management Office in Turkey, Ankara, 2019.


MONITORING SYSTEMS IN MINING


DEEP LEARNING AND INTERNET OF THINGS (IOT) BASED MONITORING SYSTEM FOR MINERS
T. S. Cetinkaya, S. Senan, and Zeynep Orman

Istanbul Gelisim University, Istanbul, 34000 Turkey
Istanbul University-Cerrahpasa, Istanbul, 34320, Turkey
e-mail: ssenan@iuc.edu.tr

In this study, a miner monitoring system is designed using the Deep Learning (DL) approach and the IoT technology together. It is aimed to determine the area where the miners are located while a possible accident occurs by the proposed system. Experiments were carried out to analyze the effectiveness of the proposed system and the performance evaluations were made. The best result was obtained with an accuracy rate of 97.14%. This rate indicates that the designed miner monitoring system can be used effectively in practice.

Internet of Things (IoT), miner monitoring, artificial neural networks, deep learning, LSTM model

DOI: 10.1134/S1062739122020156

REFERENCES
1. Viktorov, S.D., Osokin, A.A., and Shlyapin, A.V., Principles of the Method of Submicron Particle Emission Recording for the Accident Prediction in Underground Mineral Mining, J. Min. Sci., 2017, vol. 53, no. 5, pp. 962–966.
2. Hudecek, V., Analysis of Safety Precautions for Coal and Gas Outburst-Hazardous Strata, J. Min. Sci., 2008, vol. 44, no. 5, pp. 464–472.
3. Ji, W.L. and Sun, K., Locating and Tracking System of Underground Miner Based on IoT, DEStech Transactions on Eng. Technol. Res., (ICAMM), 2016, pp. 320–324.
4. Zhang, X., Smart Sensor and Tracking System for Underground Mining, Ph.D. Dissertation, University of Saskatchewan, Canada, 2016.
5. Atzori, L., Iera, A., and Morabito, G., Understanding the Internet of Things: Definition, Potentials, and Societal Role of a Fast Evolving Paradigm, Ad Hoc Networks, 2017, vol. 56, pp. 122 – 140.
6. Barnewold, L. and Lottermoser, B.G., Identification of Digital Technologies and Digitalization Trends in the Mining Industry, Int. J. Min. Sci. Technol., 2020, vol. 30, no. 6, pp. 747–757.
7. Ikeda, H., Kawamura, Y., Tungol, Z.P.L., Moridi, M.A., and Jang, H., Implementation and Verification of a Wi-Fi Ad Hoc Communication System in an Underground Mine Environment, J. Min. Sci., 2019, vol. 55, no. 3, pp. 505–514.
8. Sun, E., Zhang, X., and Li, Z., The Internet of Things (IoT) and Cloud Computing (CC) Based Tailings Dam Monitoring and Pre-Alarm System in Mines, Safety Sci., 2012, vol. 50, no. 4, pp. 811–815.
9. Sikora, M., Krzystanek, Z., Bojko, B., and Spiechowicz, K., Application of a Hybrid Method of Machine Learning for Description and On-Line Estimation of Methane Hazard in Mine Workings, J. Min. Sci., 2011, vol. 47, no. 4, pp. 493–505.
10. Ghiasi, M., Askarnejad, N., Dindarloo, S.R., and Shamsoddini, H., Prediction of Blast Boulders in Open Pit Mines via Multiple Regression and Artificial Neural Networks, Int. J. Min. Sci. Technol., 2016, vol. 26, no. 2, pp. 183–186.
11. Temeng, V.A., Ziggah, Y.Y., and Arthur, C.K., A Novel Artificial Intelligent Model for Predicting Air Overpressure Using Brain Inspired Emotional Neural Network, Int. J. Min. Sci. Technol., 2020, vol. 30, no. 5, pp. 683–689.
12. Lin, H., Singh, S., Oh, J., Canbulat, I., Kang, W.H., Hebblewhitea, B., and Staceyc, T.R., A Combined Approach for Estimating Horizontal Principal Stress Magnitudes from Borehole Breakout Data via Artificial Neural Network and Rock Failure Criterion, J. Rock Mech. Min. Sci., 2020, vol. 136, p. 104539.
13. Lin, H., Kang, W.H., Oh, J., and Canbulat, I., Estimation of In-Situ Maximum Horizontal Principal Stress Magnitudes from Borehole Breakout Data Using Machine Learning, J. Rock Mech. Min. Sci., 2020, vol. 126, p. 104199.
14. Ozyurt, M.C. and Karadogan, A.A., New Model Based on Artificial Neural Networks and Game Theory for the Selection of Underground Mining Method, J. Min. Sci., 2020, vol. 56, no. 1, pp. 66–78.
15. Wu, D., Shi, H., Wang, H., Wang, R., and Fang, H., A Feature-Based Learning System for Internet of Things Applications, IEEE Internet of Things J., 2019, vol. 6, no. 2, pp. 1928–1937.
16. Ponce, H. and Gutierrez, S., An Indoor Predicting Climate Conditions Approach Using Internet-of-Things and Artificial Hydrocarbon Networks, Measurement, 2019, vol. 135, pp. 170–179.
17. Saray, T., Cetinkaya, A., and Mendi, S.E., Monitoring of Miner by RF Signal, Proc. of International Conference on Computer Science and Engineering (UBMK), IEEE, 2017.
18. Seguel, F., Palacios-Jativa, P., Azurdia-Meza, C.A., Krommenacker, N., Charpentier, P., and Soto, I., Underground Mine Positioning: A Review, IEEE Sens. J., 2021.
19. Zrelli, A. and Ezzedine, T., Design of Optical and Wireless Sensors for Underground Mining Monitoring System, Optik, 2018, vol. 170, pp. 376–383.
20. Song, J., Zhu, Y., and Dong, F., Automatic Monitoring System for Coal Mine Safety Based on Wireless Sensor Network, Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, IEEE, 2011.
21. Thrybom, L., Neander, J., Hansen, E., and Landernas, K., Future Challenges of Positioning in Underground Mines, IFAC-PapersOnLine, 2015, vol. 48, no. 10, pp. 222–226.
22. Liu, Z., Li, C., Wu, D., Dai, W., Geng, S., and Ding, Q., A Wireless Sensor Network Based Personnel Positioning Scheme in Coal Mines with Blind Areas, Sensors, 2010, vol. 10, no. 11, pp. 9891–9918.
23. Huang, L., Li, J., Hao, H., and Li, X., Micro-Seismic Event Detection and Location in Underground Mines by Using Convolutional Neural Networks (CNN) and Deep Learning, Tunnel. Underground Space Technol., 2018, vol. 81, pp. 265–276.
24. Wamriew, D., Pevzner, R., Maltsev, E., and Pissarenko, D., Deep Neural Networks for Detection and Location of Microseismic Events and Velocity Model Inversion from Microseismic Data Acquired by Distributed Acoustic Sensing Array, Sensors, 2021, vol. 21, no. 19, p. 6627.
25. Binder, G. and Tura, A., Convolutional Neural Networks for Automated Microseismic Detection in Downhole Distributed Acoustic Sensing Data and Comparison to a Surface Geophone Array, Geophys. Prospect., 2020, vol. 68, no. 9, pp. 2770–2782.
26. Wang, B., Kong, W., Guan, H., and Xiong, N.N., Air Quality Forecasting Based on Gated Recurrent Long Short Term Memory Model in Internet of Things, IEEE Access, 2019, vol. 7, pp. 69524–69534.
27. Cheng, Y., Wan, S., and Choo, K.R., Deep Belief Network for Meteorological Time Series Prediction in the Internet of Things, IEEE Internet of Things J., 2019, vol. 6, no. 3, pp. 4369–4376.
28. Li, J., Xie, J., Yang, Z., and Li, J., Fault Diagnosis Method for a Mine Hoist in the Internet of Things Environment, Sensors, 2018, vol. 18, no. 6, p. 1920.
29. Dong, L., Shu, W., Sun, D., Li, X., and Zhang, L., Pre-Alarm System Based on Real-Time Monitoring and Numerical Simulation Using Internet of Things and Cloud Computing for Tailings Dam in Mines, IEEE Access, 2017, vol. 5, pp. 21080–21089.
30. Jo, B. and Khan, R.M.A., An Internet of Things System for Underground Mine Air Quality Pollutant Prediction Based on Azure Machine Learning, Sensors, 2018, vol. 18, no. 4, p. 930.
31. Jung, W., Kim, S.H., Hong, S.P., and Seo, J., An AIoT Monitoring System for Multi-Object Tracking and Alerting, Computers, Materials & Continua, 2021, vol. 67, no. 1, pp. 337–348.
32. Sadowski, S. and Spachos, P., RSSI-Based Indoor Localization with the Internet of Things, IEEE Access, 2018, vol. 6, pp. 30149–30161.
33. Wang, S., Wireless Network Indoor Positioning Method Using Nonmetric Multidimensional Scaling and RSSI in the Internet of Things Environment, Math. Probl. Eng., 2020, Article ID 8830891.
34. Zhang, W., Guo, W., Liu, X., Liu, Y., Zhou, J., Li, B., Lu, Q., and Yang, S., LSTM-Based Analysis of Industrial IoT Equipment, IEEE Access, 2018, vol. 6, pp. 23551–23560.
35. Wang, F., Xuan, Z., Zhen, Z., Li, K., Wang, T., and Shi, M., A Day-Ahead PV Power Forecasting Method Based on LSTM-RNN Model and Time Correlation Modification under Partial Daily Pattern Prediction Framework, Energy Convers. Manage., 2020, vol. 212, no. 2, p. 112766.
36. Sezer, O.B., Gudelek, M.U., and Ozbayoglu, A.M., Financial Time Series Forecasting with Deep Learning: A Systematic Literature Review: 2005–2019, Applied Soft Computing, 2020, vol. 90, p. 106181.


NEW METHODS AND INSTRUMENTS IN MINING


A QUASI-DISTRIBUTED FIBER-OPTICAL MONITORING SYSTEM FOR MOVEMENT OF ROOF STRATA IN MINES
A. D. Mekhtiev, E. Zh. Sarsikeev, E. G. Neshina, A. D. Al’kina, and M. Zh. Musagazhinov

Seifullin Kazakh Agrotechnical University, Nur-Sultan, 010000 Kazakhstan
e-mail: barton.kz@mail.ru
Karaganda Technical University, Karaganda, 100012 Kazakhstan
e-mail: l_neg@mail.ru
Tomsk Polytechnic University. Toms, 634050 Russia

The R&D project on the novel method and facilities for ground control is presented. The relevant literature and advanced design efforts are comprehensively reviewed. A simple design of an optical fiber displacement sensor is proposed. Its cardinal difference from the monitoring systems currently in operation in coal mines is the use of a single mode fiber as a sensitive element. The new hardware and software system improves ground control and enhances safety of mining. The geotechnical condition of roadways is identified by means of comparison of light spot apertures.

Optical fiber, pressure, roof, mine roadway, safety, optical fiber sensors

DOI: 10.1134/S1062739122020168

REFERENCES
1. Liu, X., Wang, C., Liu, T., Wei, Y., and Lu, J., Fiber Grating Water Pressure Sensor and System for Mine, ACTA Photonica Sinica, 2009, vol. 38, pp. 112–114.
2. Kumar, A., Kumar, D., Singh, U.K., Gupta, P.S., and Shankar, G., Optimizing Fiber Optics for Coal Mine Automation, Int. J. Control Automation, 2011, vol. 3. no. 4, pp. 63–70.
3. Naruse, H., Uehara, H., Deguchi, T., Fujihashi, K., Onishi, M., Espinoza, R., and Pinto, M., Application of a Distributed Fiber Optic Strain Sensing System to Monitoring Changes in the State of an Underground Mine, Meas. Sci. Technol., 2007, vol. 18, no. 10, pp. 3202–3210.
4. Dorokhov, D.V., Nizametdinov, F.K., Ozhigin, S.G., and Ozhigina, S.B., A Technique for Surveying of Ground Surface Deformations in Mine Field, J. Min. Sci., 2018, vol. 54, no. 5, pp. 874–882.
5. Ozhigin, S., Ozhigina, S., and Ozhigin, D., Method of Computing Open Pit Slopes Stability of Complicated-Structure Deposits, Inz. Miner., 2018, vol. 19, no. 1, pp. 203–208.
6. Chotchaev, Kh.O., Rock Mass Stress–Strain Behavior Control by Sound Ranging and Geophysical Methods, Geolog. Geofiz. Yuga Rossii, 2016, no. 3, pp. 129–140.
7. Buimistryuk, G.Ya., Design Principles of Intelligent Fiber-Optical Sensors, Foton-Ekspress, 2011, no. 6, pp. 38–39.
8. Buimistryuk, G.Ya., Fiber-Optical Sensors for Extreme Conditions, Control Engineering Russia, 2013, no. 3, pp. 34–40.
9. Kim, S.T., Park, Y.-H., Park, S.Y., Cho, K., and Cho, J.-R., A Sensor-Type PC Strand with an Embedded FBG Sensor for Monitoring Prestress Forces, Sensors (Switzerland), 2015, vol. 15, no. 1, pp. 1060–1070.
10. Liu, T., Wei, Y., Song, G., Li, Y., Wang, J., Ning, Y., and Lu, Y., Advances of Optical Fiber Sensors for Coal Mine Safety Monitoring Applications, Proc. Int. Conf. Microwave Photonics (ICMAP), 2013, pp. 102–111.
11. Zhao, Y., Zhang, N., and Si, G.-Y., A Fiber Bragg Grating-Based Monitoring System for Roof Safety Control in Underground Coal Mining, Sensors (Switzerland), 2016, vol. 16, no. 10, pp. 112–117. DOI: 10.3390/s16101759.
12. Volchikhin, V.I. and Murashkina, T.I., Design Problems of Fiber-Optical Sensors, Datchiki i Sistemy. Izmeren., Kontrol’, Avtomatizatsitya, 2011, no. 7, pp. 54–58.
13. Liu, J., Chai, J., Wei, S., Li, Y., Zhu, L., and Qiu, B., Theoretical and Experimental Study on Fiber Bragg Grating Sensing of Rock Strata Settlement Deformation, J. Coal Sci. Eng. (China), 2008, vol. 14, no. 3, pp. 394–398.
14. Kamenev, O.T., Kul’chin, Yu.N., Petrov, Yu.S., and Khizhnyak, R.V., Application of the Mach–Zehnder Fiber-Optical Interferometer in Engineering of Long-Range Deformometers, Pis’ma v ZhTF, 2014, vol. 40, iss. 3, pp. 49–56.
15. Kul’chin, Yu.N., Kamenev, O.T., Petrov, Yu.S., and Kolchinsky, V.A., Fiber-Optical Interferometric Receivers of Weak Seismic Signals, Vestnik DVO RAN, 2016, no. 4, pp. 56–59.
16. Shumkova, D.B. and Levchenko, A.E., Spetsial’nye volokonnye svetovody (Special-Purpose Fiber Beam Waveguides), Perm: PNIPU, 2011.
17. Buimistryuk, G.Ya., Informatsionno-izmeritel’naya tekhnika i tekhnologiya na osnove volokonno-opticheskikh datchikov i sistem (Information and Measurement Technology and Equipment Based on Fiber-Optical Sensors and Systems), Saint-Petersburg: GROTS Minatoma, 2005.
18. Oso?rio, J.H., Chesini, G., Serrao, V.A., Marcos, A.R. Franco, and Cordeiro, C.M., B. Simplifying the Design of Microstructured Optical Fiber Pressure Sensors, Scientific Reports, 2017, vol. 7. DOI: 10.1038/s41598-017-03206-w.
19. Zhao, Y., Zhang, N., and Si, G., A Fiber Bragg Grating-Based Monitoring System for Roof Safety Control in Underground Coal Mining, Sensors (Basel), 2016. DOI: 10.3390/s16101759.
20. Yurchenko, A.V., Mekhtiyev, A.D., Bulatbaev, F.N., Neshina, E.G., and Al’kina, A.D., The Model of a Fiber-Optic Sensor for Monitoring Mechanical Stresses in Mine Workings, Russ. J. Nondestr. Test., 2018, vol. 54, no. 7, pp. 528–533.
21. Mekhtiev, QA.D., Yurchenko, A.V., Ozhigin, S.G., Neshina, E.G., and Al’kina, A.D., Quasi-Distributed Fiber-Optic Monitoring Systems for Overlying Rock Mass Pressure on Roofs of Underground Excavations, Journal of Mining Science, 2021, vol. 57, no. 2, pp. 354–360.
22. Mekhtiev, QA.D., Yurchenko, A.V., Neshina, E.G., and Al’kina, A.D., Use of Optical Fiber G-652 in Ground Control in Coal Mines, Vestnik YUrGU: Komp. Tekhmnol., Upravl., Radioelektronika, 2020, no. 1, pp. 144–153.