JMS, Vol. 60, No. 2, 2024
GEOMECHANICS
TOPICALITY OF THE FRAMEWORK AND GENERAL THEORY FOR SAFE DEEP-LEVEL MINING OF HYDROCARBON-BEARING FORMATIONS
V. N. Oparin†
Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630091 Russia
e-mail: coalmetan@mail.ru
The article focuses on formulation and substantiation of a problem of safe subsoil management in view of the more and more difficult geological and climatic conditions, as well as growing depth and scale of mineral mining. It is shown that the current basic and applied research has created prerequisites for a successful solution of this problem. In Russia these prerequisites are connected with finding energy-based mechanisms of origination and growth of high-stress concentration and destruction zones in rock masses and geomaterials which feature a hierarchical block structure and many phases, and show properties of open self-organizing geosystems in the tectonic stress and strain field. Using advances in nonlinear geomechanics and geophysics, and cloud technologies of Big Data, a new methodology, technologies and software systems are developed for shaping a multilayer geoinformation and monitoring system for diagnostics, control and prediction of the industrial and ecological safety of mining regions in Russia.
Experimental and theoretical research, physics and geomechanics of rock failure source zones, fire- and rockburst safety, geomechanical and geophysical energy emission events, integrated geoinformation and monitoring system, instrumental measurements, remote sensing, diagnostics, prediction, prevention, safety, stress–strain behavior, hydrocarbon-bearing formations
DOI: 10.1134/S1062739124020017
REFERENCES
1. Kurlenya, M.V., Oparin, V.N., Tapsiev, A.P., and Arshavsky, V.V., Geomekhanicheskie protsessy vzaimodeistviya porodnykh i zakladochnykh massivov pri otrabotke plastovykh rudnykh zalezhei (Geomechanical Rock Mass–Backfill Interaction in Stratified Ore Mining), Novosibirsk: Nauka, 1997.
2. Kurlenya, M.V. and Oparin, V.N., Skvazhinnye geofizicheskie metody diagnostiki i kontrolya napryazhenno-deformirovannogo sostoyaniya massivov gornykh porod (Borehole Geophysical Methods of Stress–Strain Diagnostics and Control in Rock Masses), Novosibirsk: Nauka, 1999.
3. Oparin, V.N. et al., Mirovoi opyt avtomatizatsii gornykh rabotr na podzemnykh rudnikakh (World’s Experience of Underground Ore Mining Automation), Novosibirsk: SO RAN, 2007.
4. Oparin, V.N. et al., Metody i izmeritel’nye pribory dlya modelirovaniya i naturnykh issledovanii nelineinykh deformatsionno-volnovykh protsessov v blochnykh massivakh gornykh porod (Methods and Measurement Tools for Modeling and In-Situ Studies of Nonlinear Deformation Wave Processes in Block Rock Masses), Novosibirsk: SO RAN, 2007.
5. Oparin, V.N. et al., Zonal’naya dezintegratsiya gornykh porod i ustoichivost’ podzemnykh vyrabotok (Zonal Rock Disintegration and Stability of Underground Openings), Novosibirsk: SO RAN, 2008.
6. Oparin, V.N. et al., Sovremennaya geodinamika massiva gornykh porod verkhnei chasti litosfery: istoki, parametry, vozdeistvie na ob’ekty nedropol’zovaniya (Modern Geodynamics of Rock Mass in the Upper Lithosphere: Sources, Parameters and Impact on Subsoil Use Facilities), Novosibirsk: SO RAN, 2008.
7. Oparin, V.N. et al., Sovremennoe sostoyanie, problemy i strategiya razvitiya gornogo proizvodstva na rudnikakh Noril’ska (Mining Practice in Norilsk: Current Conditions, Problems and Development Strategy), Novosibirsk: SO RAN, 2008.
8. Oparin, V.N. et al., Metody i sistemy seismodeformatsionnogo monitoringa tekhnogennykh zemletryasenii i gornykh udarov (Methods and Systems of Seismicity Deformation Monitoring of Induced Earthquakes and Rock Bursts), Novosibirsk: SO RAN, 2009–2010.
9. Oparin, V.N. et al., Geomekhanicheskie i tekhnicheskie osnovy uvelicheniya nefteotdachi plastov v vibrovolnovykh tekhnologiyakh (Geomechanical and Technical Framework for the Enhanced Oil Recovery in Vibration Wave Technologies), Novosibirsk: SO RAN, 2010.
10. Oparin, V.N. and Tanaino, A.S., Kanonicheskaya shkala ierarkhicheskikh predstavlenii v gornom porodovedenii (Canonical Scale of Hierarchy Representation in Rock Science in Mining), Novosibirsk: Nauka, 2011.
11. Oparin, V.N. et al., Destruktsiya zemnoi kory i protsessy samoorganizatsii v oblastyakh sil’nogo tekhnogennogo vozdeistviya (Crustal Destruction and Self-Organization in Strong Induced Impact Zones), Novosibirsk: SO RAN, 2012.
12. Oparin, V.N., Adushkin, V.V., Baryakh, A.A., Potapov, V.P., Kiryaeva, T.A. et al., Geomekhanicheskie polya i protsessy: eksperimental’no-analiticheskie issledovaniya formirovaniya i razvitiya ochagovykh zon katastroficheskikh sobytii v gornotekhnicheskikh i prirodnykh sistemakh (Geomechanical Fields and Processes: Experimental and Analytical Research into Initiation and Growth of Sources of Disastrous Events in Geotechnical and Natural Systems), Novosibirsk: SO RAN, 2018–2019.
13. Oparin, V.N., Kiryaeva, T.A., Potapov, V.P., and Yushkin, V.F., Novye metody i informatsionnye tekhnologii v eksperimental’noi geomekhanike (New Methods and Information Technology in Experimental Geomechanics), Novosibirsk: SO RAN, 2021.
14. Chelidze, T.L., Abnormally High Strain Sensitivity of Conductivity in Nonuniform Media, Zh. Eksperiment. Tekhnich. Fiziki, vol. 87, no. 218, 1984.
15. Oparin, V.N., Adushkin, V.V., Vosttrikov, V.I., Usol’tseva, O.M., Mulev, S.N., Yushkin, V.F., Kiryaeva, T.A., and Potapov, V.P., Experimental and Analytical Framework of Nonlinear Geotomography, Mining Informational and Analytical Bulletin—GIAB, Part I: Research Problem Statement and Justification, 2019, no. 1, pp. 5–25; Part 2: Dynamic and Kinematic Characteristics of Pendulum Waves in High-Stress Geomedia and Processes of Seismic Emission, 2019, no. 11, pp5–26; Part 3: Promising Systems to Control Deformation and Wave Processes in Surface and Underground Mining, 2019, no. 12, pp. 5–29.
16. Oparin, V.N., Pendulum Waves and Basics of “Geomechanical Thermodynamics”, Geohazard Mechanics, 2022, no. 1, pp. 38–52.
17. Oparin, V.N., Karpov, V.N., Timonin, V.V., and Konurin, A.I., Evaluation of the Energy Efficiency of Rotary Percussive Drilling Using Dimensionless Energy Index, J. Rock Mech. and Geotech. Eng., 2022, no. 14, pp. 1486–1500.
18. Oparin, V.N., Theoretical Fundamentals to Describe Interaction of Geomechanical and Physicochemical Processes in Coal Seams, Journal of Mining Science, 2017, vol. 53, no. 2, pp. 201–215.
19. Oparin, V.N. and Simonov, V.F., Nonlinear Deformation–Wave Processes in the Vibrational Oil Geotechnologies, Journal of Mining Science, 2010, vol. 46, no. 2, pp. 95–112.
20. Adushkin, V.V. and Oparin, V.N., From the Alternating-Sign Explosion Response of Rocks to the Pendulum Waves in Stressed Media, Journal of Mining Science, Part 1, vol. 48, no. 2, pp. 203–222; Part 2: 2013, vol. 49, no. 2, pp. 175–209; Part 3: 2014, vol. 50, no. 4, pp. 623–645; Part 4: 2016, vol. 52, no. 1, pp. 1–35.
21. Wang, K.X., Aleksandrova, N.I., Pan, Y.S., Oparin, V.N., Dou, L.M., and Chanyshev, A.I., Effect of Block Medium Parameters on Energy Dissipation, J. Applied Mech. and Technical Physics, 2019, vol. 60, no 5, pp. 926–934.
22. Wang Kaixing, Pan Yishan, Oparin, V.N., and Dou Linming, Energy Transfer in Block-Rock Mass During Propagation of Pendulum-Type Waves, Chinese J. Geotech. Eng., 2016, vol. 38, no 12, pp. 2309–2314.
23. Biot, M.A. Theory of Propagation of Elastic Waves in a Fluid‐Saturated Porous Solid, Part 2: Higher Frequency Range, J. Acoustical Soc. Am., 1956, vol. 28, no. 2, pp. 179–191.
24. Oparin, V.N. and Kiryaeva, T.A., Operator of Connection Between the Langmuir Equation and Oparin’s Kinematic Equation for Pendulum-Type Waves, Part 1, Proc. Int. Sci. and Technology Conf. Far East Сon. 2021. Smart Innovation, Systems and Technologies, Singapore: Springer, 2022, vol. 275.
25. Sadovsky, M.A., Natural Lumpiness of Rocks, Dokl. Akad. Nauk, 1979, vol. 247, no. 4, pp. 829–831.
26. Sadovsky, M.A., Discreteness of Rocks, Fiz. Zemli, 1982, no. 12, pp. 3–18.
27. Shemyakin, E.I., Fisenko, G.L., Kurlenya, M.V., Oparin, V.N. et al., Phenomenon of Zonal Rock Disintegration around Underground Openings, Dokl. Akad. Nauk, 1986, vol. 289, no. 5, pp. 1088–1094.
28. Bobryakov, A.P., Geophysical Modeling of Fissuring Sets in Geomaterials, Journal of Mining Science, 2004, vo. 40, no. 5, pp. 444–452.
29. Qian Qihu and Zhou Xiaoping, Non-Euclidean Continuum Model of the Zonal Disintegration of Surrouding Rocks around Deep Circular Tunnel in a Non-Hidrostatic Pressure State, Journal of Mining Science, 2011, vol. 47, no 1, pp. 37–46.
30. Guzev, M.A. and Makarov, V.V., Deformirovanie i razrushenie sil’no szhatykh gornykh porod vokrug vyrabotok (Deformation and Fracture of Strongly Compressed Rock around Underground Roadways), V.N. Oparin (Ed.), Vladivostok: Dal’nauka, 2007.
31. Han, Y., Wang, J., Dong, Y., Hou, Q., and Pan, J., The Role of Structure Defects in the Deformation of Anthracite and Their Influence on the Macromolecular Structure, Fuel, 2017, vol. 206, pp. 1–9.
32. Pan Yishan, Tang Xin, and Li Yingjie, Study on Zonal Disintegration, J. Rock Mech. and Eng., 2007, vol. 26, no. 1, pp. 3335–33414.
33. Myasnikov, V.P. Izbrannye trudy. Tom 1: Obshchie problemy mekhaniki sploshnoi sredy (Selectals. Vol. 1: General Problems of Continuum Mechanics), Vladivostok: Dal’nauka, 2006.
34. Guzev, M., Non-Euclidean Models of Elastoplastic Materials with Structure Defects, LAP Lambert Academic Publishing, 2010.
STUDY ON LOADING RATE AND ROCK–COAL STRENGTH RATIO EFFECT ON MECHANICAL PROPERTIES OF COAL–ROCK COMBINATION
Ronghuan Cai, Yishan Pan*, Yonghui Xiao, and Feiyu Liu
Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines,
Northeastern University, Shenyang 110819 China
*e-mail: panyish_cn@sina.com
Institute of Disaster Rock Mechanics, Liaoning University, Shenyang 110036 China
School of Physics, Liaoning University, Shenyang 110036 China
In order to clarify the relationship between the mechanical properties of coal–rock composite and the loading rate and rock–coal strength ratio, uniaxial compression tests were carried out on coal–rock combinations with three different rock–coal strength ratios at four different loading rates. The rock–coal strength ratio λ is a ratio of the compression strength of rock to the compression strength of coal. The test results indicate that the relationship between the mechanical properties of coal–rock composite and loading rate is influenced by both the strong and weak components in the composite. The peak stress and elastic modulus mainly depend on the weak component, while the peak strain is determined by both the strong and weak components. For peak stress and elastic modulus, when the weak body is the same, the relationship with loading rate is the same, otherwise it is different. The relationship between the mechanical properties of coal–rock combination and λ is not affected by the loading rate. The weak body in the coal–rock combination is the main body of damage, and the greater the value of λ, the more severe the damage. At the same time, the failure mode shows a gradual transition from weak body failure inducing strong body failure to only weak body failure.
Coal–rock combination, loading rate, rock–coal strength ratio, mechanical properties, failure characteristics
DOI: 10.1134/S1062739124020029
REFERENCES
1. Pan, Y., Disturbance Response Instability Theory of Rock Burst in Coal Mine, J. China Coal Soc., 2018, vol. 43, no. 8, pp. 2091–2098.
2. Pan, Y., Dai, L., Theoretical Formula of Rock Burst in Coal Mines, J. China Coal Soc., 2021, vol. 46, no. 3, pp. 789–799.
3. Qi, Q., Pan, P., Li, H., Jiang, D., Shu, L., Zhao, S., Zhang, Y., Pan, J., Li, H., and Pan, P., Theoretical Basis and Key Technology of Prevention and Control of Coal–Rock Dynamic Disasters in Deep Coal Mining, J. China Coal Soc., 2020, vol. 45, no. 5, pp. 1567–1584.
4. Dou, L., Tian, X., Cao, A., Gong, S., He, Hu., He, J., Cai, W., and Li, X., Present Situation and Problems of Coal Mine Rock Burst Prevention and Control in China, J. China Coal Soc., 2022, vol. 47, no. 1, pp. 152–171.
5. Jang, Y., Pan, Y., Jiang, F., Dou, L., and Ju, Y., State of the Art Review on Mechanism and Prevention of Coal Bumps in China, J. China Coal Soc., 2014, vol. 39, no. 2, pp. 205–213.
6. Zhang, Y., Zhao, Y., Ding, X., and Han, G., Exploration on Characteristics of Rock Bust in Deep Mining Area of Ordos and Its Prevention, Coal Sci Technol Mag., 2022, vol. 47, no. 1, pp. 152–171.
7. Chen, S., Li, F., Yin, D., and Zhang, J., Experimental Study on Deformation Failure Characteristics of Limestone−Coal Composite with Different Rock–Coal Height Ratios, J. Cent. South Univ. (Sci. Technol.)., 2023, vol. 54, no. 6, pp. 2459–2472.
8. Li, H., Song, L., Zhou, H., Jiang, D., and Wang, H., Evaluation Method and Application of Coal Burst Performance under the Effect of Loading Rate, J. China Coal Soc., 2015, vol. 40, no. 12, pp. 2763–2771.
9. Gong, F., Ye, H., and Luo, Y., Rate Effect on the Burst Tendency of Coal–Rock Combined Body under Low Loading Rate Range, J. China Coal Soc., 2017, vol. 42, no. 11, pp. 2852–2860.
10. Chen, T., Yao, Q., Wei, F., Chong, Z., Zhou, J., Wang, C., and Li, J., Effects of Water Intrusion and Loading Rate on Mechanical Properties of and Crack Propagation in Coal–Rock Combinations, J. Cent. South Univ., 2017, vol. 24, no. 2, pp. 423–431.
11. Yin, D., Chen, S., Xing, W., Huang, D., and Liu, X., Experimental Study on Mechanical Behavior of Roof–Coal Pillar Structure Body under Different Loading Rates, J. China Coal Soc., 2018, vol. 43, no. 5, pp. 1249–1257.
12. Wang, N., Xu, Y., Zhu, D., Wang, N., and Yu, B., Acoustic Emission and Failure Modes for Coal-Rock Structure under Different Loading Rates, Advances in Civil Engineering, 2018, no. 8, pp. 1–11.
13. Chen, G., Teng, P., Zhang, G., Yang, L., Li, T., and Lyu, P., Fractal Characteristics and Energy Transfer Mechanism of Coal–Rock Combined Body Fragments under Different Loading Rates, J. Chongqing Univ., 2022, vol. 45, no. 8, pp. 115–129.
14. Ma, Q., Tan, Y., Liu, X., Zhao, Z., Fan, D., and Purev, L., Experimental and Numerical Simulation of Loading Rate Effects on Failure and Strain Energy Characteristics of Coal–Rock Composite Samples, J. Cent. South Univ., 2021, vol. 28, no. 10, pp. 3207–3222.
15. Liu, J., Wang, E., Song, D., Wang, S., and Niu, Y., Effect of Rock Strength on Failure Mode and Mechanical Behavior of Composite Samples, Arab. J. Geosci., 2014, vol. 8, no. 7, pp. 4527–4539.
16. Liu, J., Wang, E., Song, D., Yang, S., and Niu, Y., Effects of Rock Strength on Mechanical Behavior and Acoustic Emission Characteristics of Samples Composed of Coal and Rock, J. China Coal Soc., 2014, vol. 39, no. 4, pp. 685–691.
17. Yang, L., Gao, F., and Wang, X., Mechanical Response and Energy Partition Evolution of Coal-Rock Combinations with Different Strength Ratios, Chin. J. Rock Mech. Eng., 2020, vol. 39, no. S2, pp. 3297–3305.
18. He, Y., Zhao, P., Li, S., Ho, C., Zhu, S., Kang, X., and Barbieri, D., Mechanical Properties and Energy Dissipation Characteristics of Coal–Rock-Like Composite Materials Subjected to Different Rock–Coal Strength Ratios, Nat. Resour. Res., 2021, vol. 30, no. 3, pp. 2179–2193.
19. Xiao, X., Fan, Y., Wu, D., Ding, X., Wang, L., and Zhao, B., Energy Dissipation Feature and Rock Burst Risk Assessment in Coal–Rock Combinations, Rock Soil Mech., 2019, vol. 40, no. 11, pp. 4203–4212+4219.
20. Chen, Y., Zuo, J., Wei, X., Song, H., and Sun, Y., Energy Nonlinear Evolution Characteristics of the Failure Behavior of Coal-rock Combined Body, Chin. J. Undergr. Sp. and Eng., 2017, vol. 13, no. 1, pp. 124–132.
21. Yang, L., Gao, F., Wang, X., and Li, J., Energy Evolution Law and Failure Mechanism of Coal–Rock Combined Specimen, J. China Coal Soc., 2019, vol. 44, no. 12, pp. 3894–3902.
22. Zhao, P., He, Y., Li, S., Li, S., Lin, H., Jia, Y., and Yang, E., Coal Thickness Effect on Mechanics and Energy Characteristics of Coal–Rock Combination Model, J. Min. Saf. Eng., 2020, vol. 37, no. 5, pp. 1067–1076.
23. Chen, G., Li, T., Zhang, G., Lyu, P., and Wu, X., Experimental Study on the Law of Energy Accumulation Before Failure of Coal–Rock Combined Body, J. China Coal Soc., 2021, vol. 46, no. S1, pp. 174–186.
24. Suknev, S.V., Effects of Regimes of Water Saturation on Static Elastic Properties of Carbonate Rocks, Journal of Mining Science, 2204, vol. 60, no. 1, pp. 12–21.
25. Bukowska, M. and Bukowski, P., Changes of Properties of Carboniferous Rock Mass and the Occurrence of Some Natural Hazards in the Conditions of Flooding of Roadways within Abandoned Coal Mines, Journal of Mining Science, 2021, vol. 57, no. 5, pp. 759–774.
24. Chen, S., Yin, D., Zhang, B., Ma, H., and Liu, X., Mechanical Characteristics and Progressive Failure Mechanism of Roof–Coal Pillar Structure, Chin. J. Rock Mech. Eng., 2017, vol. 36, no. 7, pp. 1588–1598.
25. Zuo, J., Chen, Y., and Song, H., Study Progress of Failure Behaviors and Nonlinear Model of Deep Coal–Rock Combined Body, Chin. J. Rock Mech. Eng., 2021, Vol. 52, No. 8, Pp. 2510–2521.
EXPERIMENTAL INVESTIGATION OF BLOCK FRACTURE INFLUENCE ON P-WAVE PROPAGATION IN BLOCK ROCK MASS
Wang Kaixing*, Wu Bin, Pan Yishan, A. P. Khmelinin, and A. I. Chanyshev
Ordos Research Institute, Liaoning Technical University, Ordos, 017000 China
*e-mail: kaixing_wang@163.com
School of Mechanics and Engineering, Liaoning Technical University,
Liaoning, Fuxin, 123000 China
Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
This article experimentally investigates the characteristics of P-wave propagation in block rock mass when blocks fracture transversely and longitudinally. The velocity of P-wave, rock block acceleration, kinetic energy, displacement response, and the time–frequency response of rock block were analyzed. The results show that when the rock block fractures, the P-wave velocity decreases, the acceleration response duration time increases, and the maximum acceleration and kinetic energy decrease. However, transverse fractures show a more evident decrease in the acceleration and kinetic energy near the fracture area, and longitudinal fractures show a more evident decrease in the displacement amplitude far from the fracture area. On transverse fractures, the dominant frequency of acceleration and kinetic energy leads to a low value near the fracture area, but the dominant frequency of displacement—to a high value. Longitudinal fracture leads to a dominant frequency of block response occurrence time delayed far from the fracture area.
Block rock mass, fracture type effect on P-wave propagation in block model, time–frequency response analysis
DOI: 10.1134/S1062739124020030
REFERENCES
1. Miao, X.H., Jiang, F.X., Wang, C.W., et al., Mechanism of Microseism-Induced Rock Burst Revealed by Microseismic Monitoring, Chinese J. Geotech. Eng., 2011, vol. 33, vo. 6, pp. 971–976.
2. Liu, S.H., Mao, D.B., Qi, Q.X., et al., Under Static Loading Stress Wave Propagation Mechanism and Energy Dissipation in Compound Coal–Rock, J. China Coal Society, 2014, vol. 39, no. S1, pp. 15–22.
3. Dou, L.M., Jiang, Y.D., Cao, A., et al., Monitoring and Pre-Warning of Rock Burst Hazard with Technology of Stress Field and Wave Field in Underground Coalmines, Chinese J. Rock Mech. Eng., 2017, Vol. 36, No. 4. — P. 803–811.
4. Sadovsky, M.A., Natural Lumpiness of a Rock, Dokl. Akad. Nauk SSSR, 1979, vol. 247, no. 4, pp. 829–831.
5. Kurlenya, M.V., Oparin, V.N., and Eremenko, A.A., Relation of Linear Block Dimensions of Rock to Crack Opening in the Structural Hierarchy of Masses, Journal of Mining Science, 1993, vol. 29, no. 3, pp. 197–203.
6. Qi, C.Z., Qian, Q.H., Wang, M.Y., et al., Structural Hierarchy of Rock Massif and Mechanism of Its Formation, Chin. J. Rock Mech. Eng., 2005, vol. 24, no. 16, pp. 2838–2846.
7. Kurlenya, M.V., Oparin, V.N., and Vostrikov, V.I., Pendulum-Type Waves. Part I: State of the Problem and Measuring Instrument and Computer Complexes, Journal of Mining Science, 1996, vol. 32, no. 3, pp. 159–163.
8. Aleksandrova, N.I. and Sher, E.N., Modeling of Wave Propagation in Block Media, Journal of Mining Science, 2004, vol. 40, no. 6, pp. 579–587.
9. Aleksandrova, N.I., The Propagation of Transient Waves in Two-Dimensional Square Lattices, Int. J. Solids Structures, 2022, vol. 18, pp. 234–235.
10. Aleksandrova, N.I., Model of Block Media Taking into Account Internal Friction, Mech. Solids, 2022, vol. 57, no. 3, pp. 496–507.
11. Oparin, V.N., Balmashnova, E.G., and Vostrikov, V.I., On Dynamic Behavior of “Self-Stressed” Block Media. Part II: Comparison of Theoretical and Experimental Data, Journal of Mining Science, 2001, vol. 37, no. 5, pp. 455–461.
12. Saraikin, V.A., Chernikov, A.G., and She, E.N., Wave Propagation in Two-Dimensional Block Media with Viscoelastic Layers (Theory and Experiment), J. Appl. Mech. Tech. Phys., 2015, vol. 56, no. 4.
13. Sher, E.N. and Chernikov, A.G., Estimate of Block Medium Structure Parameters: A Model Case-Study of Seismic Sounding of a Brick Wall, Journal of Mining Science, 2020, vol. 56, no. 4, pp. 512–517.
14. Qian, Q.H., Key Scientific Problems in the Development of Deep Underground Space, Academician Proc. of Qian Qi-hu, Beijing: Chinese Society Rock Mech. Eng., 2007, pp. 549–568.
15. Wang, D.R., Lu, Y.S., Feng, S.F., et al., Development of Multipurpose Test System for Dynamic Behaviors of Deep Rock Masses, Chin. J. Rock Mech. Eng., 2008, vol. 27, no. 3, pp. 601–606.
16. Wu, H., Fang, Q., Zhang, Y.D., et al., Propagation Properties of Stress Waves in One-Dimensional Geo-Block Medium, Chin. J. Geotech. Eng., 2010, vol. 32, no. 4, pp. 600–611.
17. Jia, B.X., Chen, Y., Pan, Y.S., et al., Experimental Research on Propagation Characteristics of Block-Rock Mass Pendulum-Type Wave under Shock Load, Rock Soil Mech., 2015, vol. 36, no. 11, pp. 3071–3076.
18. Li, J., Zhou, Y.C., Jiang, H.M., et al., State of the Nonlinear Pendulum-Type Waves Problems and Development of the Test Equipment, Nat. Sci. J. Xiangtan Univ., 2017, vol. 39, no. 4, pp. 22–28.
19. Li, J., Wang, M.Y., Jiang, H.M., et al., Nonlinear Mechanical Problems in Rock Explosion and Shock. Part I: Experimental Research on Properties of One-Dimensional Wave Propagation in Block Rock Masses, Chin. J. Rock Mech. Eng., 2018, vol. 37, no. 1, pp. 38–50.
20. Li, J., Jiang, H.M., Wang, M.Y., et al., Nonlinear Mechanical Problems in Rock Explosion and Shock. Part II: Physical Model Test on Sliding of Block Rocks Triggered by External Disturbance, Chin. J. Rock Mech. Eng., 2018, vol. 37, no. 2, pp. 291–301.
21. He, M.C., Wang, Y., Liu, D.Q., et al., Experimental Study on Ultra-Low Friction Effect of Granite Block Based on Two-Dimensional Digital Image Correlation Technique, J. China Coal Soc., 2018, vol. 43, no. 10, pp. 2732–2740.
22. Wang, K.X., Dou, L.M., Pan, Y.S., et al., Experimental Study of Incompatible Dynamic Response Feature of Block Rock Mass, Rock Soil Mech., 2020, vol. 41, no. 4, pp. 1227–1234.
23. Jiang, H.M., Li, J., and Wang, M.Y., Development of a Test System for Dynamic Characteristics of Blocky Rock Mass and Its Application, J. Vibration Shock., 2018, vol. 37, no. 21., pp. 29–34.
24. Liu, B.Y., An Introduction to Nonstationary Signal Analysis, Beijing: National Defense Industry Press, 2006.
25. Ge, Z.X. and Chen, Z.S., Matlab Time–Frequency Analysis Technology and Its Applications, Beijing: The People’s Posts and Telecommunications Press, 2006.
26. Tian, Z.N., Li, S.H., Xiao, N., et al., Experimental Studies and Numerical Simulation of Stress Wave Propagation in One-Dimensional Rock Mass, Chin. J. Rock Mech. Eng., 2008, vol. 27, no. S1, pp. 2687–2693.
INTERRELATION OF MECHANICAL PROPERTIES AND ROOT DAMAGE OF SALIX WITH GROUND SURFACE SUBSIDENCE
Yunjing Ma
Shenzhen MSU–BIT University, Shenzhen, Guangdong, 518172 China
e-mail: 1600280192@qq.com
This article studied the biomechanical properties of salix root sampled from arid and semi-arid regions of China. The damage law of root in the process of stretching was analyzed by acoustic emission technique. The fractal dimension of root failure section was calculated by digital image processing technology. The results show that salix root tensile strength and ultimate elongation decreases with the diameter increasing, while ultimate tensile resistance and diameter are positively correlated. Damage variable characterized by cumulative AE energy can not only help research the rule of root damage quantitatively, but also allows determining the critical elongation when root became inactive. The optimal mining depth values are proposed, which enable reduction of ground surface deformation, elimination of root system damage, protection of planting on ground surface and, thus, decrease of possibility of bench convergence.
Salix root, acoustic emission, damage variable, tensile strength, mining depth, vegetation protection
DOI: 10.1134/S1062739124020042
REFERENCES
1. Shaogang, L. and Zhengfu, B., Research Progress on the Environment Impacts from Underground Coal Mining in Arid Western Area of China, Acta Ecological Sinica, 2014, vol. 34, no. 11, pp. 2837–2843.
2. Wu Tien, H., MK, I., and Swanston, D.N., Strength of Tree Roots and Landslides on Prince of Wales Island, Alaska, Can. Geotech. J., 1979, vol. 16, no. 1, pp. 19–33.
3. Waldron, L.J., Shear Resistance of Root-Permeated Homogeneous and Stratified Soil, Soil Sci. Soc. Am., 1977, vol. 41, pp. 843–849.
4. Pollen, N. and Simon, A., Estimating the Mechanical Effects of Riparian Vegetation on Stream Bank Stability Using a Fiber Bundle Model, Water Resour. Res., 2005, vol. 41, no. 7, pp. 226–244.
5. Riestenburg, M., Anchoring of Thin Colluvium on Hillslopes in Cincinnati by Roots of Sugar Maple and White Ash, J. Am. Chem. Soc., 1994, vol. 109, no. 23, pp. 7228–7230.
6. Norris, J., Root Reinforcement by Hawthorn and Oak Roots on a Highway Cut-Slope in Southern England, Plant & Soil, 2005, vol. 278, no. 1–2, pp. 43–53.
7. Docker, B. and Hubble, T., Quantifying Root-Reinforcement of River Bank Soils by Four Australian Tree Species, Geomorphology, 2008, vol. 100, no. 3–4, pp. 401–418.
8. Operstein, V. and Frydman, S., The Influence of Vegetation on Soil Strength, Ground Improvement, 2000, vol. 4, no. 2, pp. 81–89.
9. Mickovski, S., Stokes, A., Beek, R., Ghestem, M., and Fourcaud, T., Simulation of Direct Shear Tests on Rooted and Non-Rooted Soil Using Finite Element Analysis, Ecol. Eng., 2011, vol. 37, no. 10, pp. 1523–1532.
10. Mao, Z., Ming, Y., Bourrier, F., and Fourcaud, T., Evaluation of Root Reinforcement Models Using Numerical Modeling Approaches, Plant & Soil, 2014, vol. 381, no. 1–2, pp. 249–270.
11. Bourrier, F., Kneib, F., Chareyre, B., and Fourcaud, T., Discrete Modeling of Granular Soils Reinforcement by Plant Roots, Ecol. Eng., 2013, vol. 61, no. 1, pp. 646–657.
12. Cazzuffi, D., Cardile, G., and Gioffrè, D., Geosynthetic Engineering and Vegetation Growth in Soil Reinforcement Applications, Transp. Infrastruct. Geotechnol., 2014, vol. 1, no. 3–4, pp. 262–300.
13. Pinho-Lopes, M., Carlos, D., and Lopes, M., Flume Tests on Fine Soil Reinforced with Geosynthetics: Walls of the Salt Pans (Aveiro Lagoon, Portugal), Int. J. Geosynth. Ground Eng., 2015, vol. 1, no. 2.
14. Norris, J., Stokes, A., Mickovski, S., Cammeraat, E., Beek, R., Nicoll, B., and Achim, A., Slope Stability and Erosion Control, Ecotechnological solutions, 2008.
15. Pimentel, R., Heck, R., and Almeida, G., Studying Natural Root Systems in Soil of the Semi-Arid Region of Brazil, Soil Interfaces Sustain Dev, 2015.
16. Arellano, M. and Irmak, S., Reference (Potential) Evapotranspiration. I: Comparison of Temperature, Radiation, and Combination-Based Energy Balance Equations in Humid, Subhumid, Arid, Semiarid, and Mediterranean-Type Climates, J. Irrig. Drain Eng., 2014, vol. 142, no. 4. — 04015065-1-21.
17. Topak, R., Acar, B., Uyanöz, R., and Ceyhan, E., Performance of Partial Root–Zone Drip Irrigation for Sugar Beet Production in a Semi-Arid Area, Agric. Water Manag., 2016, vol. 176, pp. 180–190.
18. Şeptar, L., Păltineanu, C., Gavăţ, C., and Moale, C., Estimating Root Activity of a Drip-Irrigated Peach Orchard under the Soil and Climate Conditions of a Semi-Arid Region, Sci. Pap-Series B, Horticulture, 2015.
19. Carrillo, Y., Dijkstra, F., Dan, L., Morgan, J., Blumenthal, D., Waldron, S., and Pendall, E., Disentangling Root Responses to Climate Change in a Semiarid Grassland, Oecologia, 2014, vol. 175, no. 2, pp. 699–711.
20. Goodman, A. and Ennos, A., The Effects of Soil Bulk Density on the Morphology and Anchorage Mechanics of the Root Systems of Sunflower and Maize, Ann. Bot., 1999, vol. 83, no. 3, pp. 293–302.
21. Bischetti, G., Chiaradia, E., Simonato, T., Speziali, B., Vitali, B., and Vullo, P., Root Strength and Root Area Ratio of Forest Species in Lombardy (Northern Italy), Plant & Soil, 2005, vol. 278, no. 1–2, pp. 11–22.
22. Haili, Z., Xiasong, H., Xiaoqing, M., Guorong, L., Xingling, L., and Guichen, C., Relationship between Mechanical Characteristics and Anatomical Structures of Slope Protection Plant Root, Trans Chin. Soc. Agric. Eng., 2009, vol. 25, no. 5, pp. 40–46.
23. Kun, J., Study on Wood Fracture Parallel to Grain Based on Fractal Theory, J. Biomath., 2009, vol. 4, no. 1, pp. 177–182.
24. Yinli, B., Jinhua, S., Jian, Z., Ziheng, S., Yun, C., and Huan, S., Remediation Effects of Plant Root Growth Inoculated with AM Fungi on Simulation Subsidence Injured, J. China Coal Soc., 2017, vol. 42, no. 4, pp. 1013–1020.
25. Kumar, R., Shankar, V., and Jat, M., Evaluation of Nonlinear Root Uptake Model for Uniform Root Zone Vis-a-Vis Multilayer Root Zone, J. Irrig. Drain Eng., 2013, vol. 140, no. 2. — 04013010-1-9.
EVOLUTION MECHANISM AND MONITORING TECHNOLOGY OF OVERBURDEN DEFORMATION IN UNDERGROUND MINING WITH GROUT INJECTION
Yankui Hao, Zhanguo Ma*, Zhongxiang Lin, Wang Liu, Peng Yue, Junyu Sun, and Tao Chen
China Coal Geology Group Co. Ltd., Beijing, 100040 China
School of Mechanics and Civil Engineering, China University of Mining and Technology,
Xuzhou, Jiangsu, 221116 China
*e-mail: zgma@cumt.edu.cn
Taking working face 8006 of a coal mine in North China as the engineering background, the contact stress of each rock stratum interface is calculated based on the principle of composite beam to predict the development position of the separation layer. The distributed fiber optic sensing technology monitors the horizons where the abscission develops. The test results can accurately reflect the deformation characteristics of the overlying strata in the field, which provides an important theoretical basis and guiding role for the design of the overlying strata grouting scheme in this coal mine. The results show that when the working face is fully mined, the separation layer is mainly developed between the coarse-grained sandstone and the lower sandy mudstone at a distance of 265 m from the coal seam roof. The grouting scheme is effective, which can provide a useful reference for similar grout injection in overburden separation projects.
Rock deformation, grout injection, similarity-based simulation, coal mining, overburden deformation
DOI: 10.1134/S1062739124020054
REFERENCES
1. Guo, L., Cheng, Y., and Peng, S., Study on Fracture Evolution and Subsidence Fractal Characteristics of Overlying Strata in Thin Bedrock Mining with Thick Undispersed Beds, Safety in Coal Mines, 2020, vol. 51, no. 9, pp. 59–64.
2. Fan, Z., Study on the Characteristics of Slurry Migration Channel and Solute Diffusion in Separated Layer Filling Mining, Coal Sci. Technol., 2017, vol. 45, no. 7, pp. 172–179.
3. Qiao, W., Zhao, S., Li, L., Gan, S., Jiang, C., Liu, M., Zhang, L., and Duan, Y., Study on Evolution Characteristics of Upper Strata and Precursory Information of Water Gushing (Outburst) in Mining Overburden, Coal Sci. and Technol., 2021, vol. 49, no. 2, pp. 194–205.
4. Qiao, W., Wang, Z., Li, W., Lv, Y., Li, L., Huang, Y., He, J., Li, X., Zhao S., and Liu, M., Formation Mechanism, Disaster Causing Mechanism and Prevention Technology of Water Damage in Coal Mine Roof, J. China Coal Soc., 2021, vol. 46, no. 2, pp. 507–522.
5. Xuan, D., Wang, B., and Xu, J., A Shared Borehole Approach for Coal-Bed Methane Drainage and Ground Stabilization with Grouting, Int. J. Rock Mech. Min. Sci., 2016, vol. 86, pp. 235–244.
6. Wu, R., Wang, J., Zhe, Z., and Cheng, H., Influence of Coal Seam Mining Height on the “Three Zones” of Gas Relief Movement in Mining Overlying Rock, J. Min. & Safety Eng., 2017, vol. 34, no. 6, pp. 1223–1231.
7. Qian, M., Miu, X., and Xu, J., Research on Key Layer Theory in Rock Control, J. China Coal Society, 1996, vol. 3, pp. 2–7.
8. Xu, J., Qian, M., and Jin, H., Study on the Evolution Law of Strata Movement and Separation and Its Application, Chinese J. Geotechnical Eng., 2004, vol. 5, pp. 632–636.
9. Palchik, V., Localization of Mining-Induced Horizontal Fractures along Rock Layer Interfaces in Overburden: Field Measurements and Prediction, Environmental Geology, 2005, vol. 48, no. 1, pp. 68–80.
10. He, J., Li, W., Liu, Y., Yang, Z., Liu, S., and Li, L., An Improved Method for Determining the Position of Overlying Separated Strata in Mining, Eng. Failure Analysis, 2018, vol. 83, pp. 17–29.
11. Wang, S., Song, C., and Liu, Y., Experimental Study on Dynamic Development of Overlying Strata, J. Shandong Agricultural University (Natural Science Edition), 2020, vol. 51, no. 4, pp. 663–667.
12. Zhang, X., Fan, X., and Zhao, D., The Space-Time Process of Overburden Movement, Chinese J. Rock Mech. Eng., 2002, vol. 1, pp. 56–59.
13. Zhang, X., Qiao, W., and Lei, L., Formation Mechanism of Overburden Separated Layer in Fully Mechanized Caving Mining, J. China Coal Society, 2016, vol. 41, no. S2, pp. 342–349.
14. Pu, C., Shi, B., and Wei, G., BOTDA Distributed Measurement and Separation Analysis of Mining Overburden Deformation, J. Min. & Safety Eng., 2015, vol. 32, no. 3, pp. 376–381.
15. Tan, H. and Li, Q., Application of Optical Fiber Sensing Technology in Height Detection of Two Overburden Zones, Coal Geology of China, 2019, vol. 31, no. 5, pp. 60–65.
16. Wang, C., Analysis of Grouting Effect in High and Thick Hard Rock Stratum Separation Zone, Shandong Coal Sci. Technol., 2018, vol. 210, no. 2, pp. 53–55.
HIGH-SPEED RAILWAY TUNNEL BOTTOM IN NEARLY HORIZONTALLY SOFT AND HARD INTERLAYERED STRATA: DEFORMATION MECHANISM AND COUNTERMEASURES
Junsheng Yang, Maolong Xiang, Jian Wu, Yuwei Li, Yipeng Xie*, and Jinyang Fu
School of Civil Engineering, Central South University, Changsha, 410075 China
*e-mail: ypxie2020@csu.edu.cn
China Railway Southwest Research Institute Co., Ltd., Chengdu, 611731 China
Liaoning University, Shenyang, 110036 China
A large number of cases of tunnel bottom deformation occur in nearly horizontally layered strata. This article analyzes the common characteristics of such tunnel bottom deformation through case studies, and introduces the limitations and requirements for bottom designs for China’s high-speed railway tunnels. The deformation mechanisms of the tunnel bottom were studied through the physical model experiment which revealed the interaction characteristics between the layered surrounding rock and the tunnel bottom structure. Through the numerical simulation study, the effect of different elevated arch curvatures on deformation of the tunnel bottom was investigated, and the effectiveness of elevation arch deepening in deformation control of the tunnel bottom was verified. The classified control countermeasures for deformation at the bottoms of the tunnels in nearly horizontally layered strata are provided.
Railway tunnel, tunnel bottom, gentle incline, interlayered strata, deformation mechanism, countermeasures
DOI: 10.1134/S1062739124020066
REFERENCES
1. Li, L., Yang, J., Wu, J., Wang, S., Fang, X., and Zhang, C., Failure Mechanism and Countermeasures of an Operational Railway Tunnel Invert in Horizontally Stratified Rock Masses, Int. J. Geomech., 2022, vol. 22, no. 2. 04021280.
2. Moussaeia, N., Sharifzadehb, M., Sahriarc, K., and Khosravi, M.H., A New Classification of Failure Mechanisms at Tunnels in Stratified Rock Masses through Physical and Numerical Modeling, Tunn. Undergr. Space Technol., 2019, vol. 91. 103017.
3. Feng, J., Gong, L., Wang, L., Zhou P., Zhang, P., Li, Y., and Liu, Z., Study on Failure Mechanism and Treatment Measures of Floor Heave of High-Speed Railway Tunnel in the Interbedded Surrounding Rock with High Geostress, Eng. Fail. Anal., 2023, vol. 150. 107365.
4. Ma, K., Zhang, J., Zhang, J., Dai, Y., and Zhou, P., Floor Heave Failure Mechanism of Large-Section Tunnels in Sandstone with Shale Stratum after Construction: A Case Study, Eng. Fail. Anal., 2022, vol. 140. 106497.
5. Mo, S., H.L., Oh, J., Masoumi, H., Canbulat, I., Hebblewhite, B., and Saydam, S., A New Coal Mine Floor Rating System and Its Application to Assess the Potential of Floor Heave, Int. J. Rock Mech. Min. Sci., 2020, vol. 128. 104241.
6. Zhang, B., Tao, Z., Guo, P., Yang, K., and Yang, Y., Model Test on Deformation and Failure Mechanism of Tunnel Support with Layered Rock Mass under High Ground Stress, Eng. Fail. Anal., 2023, vol. 150. 107296.
7. Fang, H., Yang, J., Xiang, M., Zhang, X., and Li, L., Model Test and Numerical Simulation on the Invert Heave Behavior of High-Speed Railway Tunnels with Rainstorm, Transp. Geotech., 2022, vol. 37. 100891.
8. Li, L., Yang, J., Fu, J., Wang, S., Zhang, C., and Xiang, M., Experimental Investigation on the Invert Stability of Operating Railway Tunnels with Different Drainage Systems Using 3D Printing Technology, J. Rock Mech. Geotech. Eng., 2022, vol. 14, no. 5, pp. 1470–1485.
9. Liu, Y., Song, H.L., Sun, X.D., Xing, H.P., Feng, C.Y., Liu, J.F., and Zhao, G.T., Characteristics of Rail Deformation Caused by Tunnel Floor Heave and Corresponding Running Risk of High-Speed Train, Constr. Build. Mater., 2022, vol. 346. 128385.
10. Du, M., Wang, X., Zhang, Y., Li, L., and Zhang, P., In-Situ Monitoring and Analysis of Tunnel Floor Heave Process, Eng. Fail. Anal., 2020, vol. 109. 104323.
11. Mo, S., Tutuk, K., and Saydam, S., Management of Floor Heave at Bulga Underground Operations—A Case Study, Int. J. Min. Sci. Technol., 2019, vol. 29, no. 1, pp. 73–78.
12. Ou, X., Ouyang, L., Xu, X., and Wang, L., Case Study on Floor Heave Failure of Highway Tunnels in Gently Inclined Coal Seam, Eng. Fail. Anal., 2022, vol. 153. 107598.
13. Li, J., Wang, Z., Wang, Y., and Chang, H., Analysis and Countermeasures of Large Deformation of Deep-Buried Tunnel Excavated in Layered Rock Strata: A Case Study, Eng. Fail. Anal., 2023, vol. 146. 107057.
14. Ma, K., Zhang, J., Zhang, J., Dai, Y., and Zhou, P., Floor Heave Failure Mechanism of Large-Section Tunnels in Sandstone with Shale Stratum after Construction: A Case Study, Eng. Fail. Anal., 2022, vol. 140. 106497.
15. Feng J., Gong L., Wang L., Zhou P., Zhang P., Li Y., and Liu Z. Study on Failure Mechanism and Treatment Measures of Floor Heave of High-Speed Railway Tunnel in the Interbedded Surrounding Rock with High Geostress, Eng. Fail. Anal., 2023, vol. 150. 107365.
16. Yang, J.P., Chen, W.Z., Zhao, W.S., Tan, X.J., Tian, H.M., Yang, D.S., and Ma, C.S., Geohazards of Tunnel Excavation in Interbedded Layers under High In-Situ Stress, Eng. Geol., 2017, vol. 230, no. 29, pp. 11–22.
17. Sun, X.M., Zhao, C.W., Tao, Z.G., Kang, H.W., and He, M.C., Failure Mechanism and Control Technology of Large Deformation for Muzhailing Tunnel in Stratified Rock Masses, Bull. Eng. Geol. Environ., 2021, vol. 80, pp. 4731–4750.
18. Tian, Y., Shu, X., Tian, H., He, L., Jin, Y., and Huang, M., Effect of Horizontal Stress on the Mesoscopic Deformation and Failure Mechanism of Layered Surrounding Rock Masses in Tunnels, Eng. Fail. Anal., 2023, vol. 148. 107226.
19. Fortsakis, P., Nikas, K., Marinos, V., and Marinos, P., Anisotropic Behavior of Stratified Rock Masses in Tunnelling, Eng. Geol., 2012, vol. 141, pp. 74–83.
20. Shen, P.W., Tang, H.M., Zhang, B.C., Ning, Y.B., and He, C., Investigation on the Fracture and Mechanical Behavior of Simulated Transversely Isotropic Rock Made of Two Interbedded Materials, Eng. Geol., 2021, vol. 268. 106058.
21. Kulatilake, P.H.S.W., Malama, B., and Wang, J., Physical and Particle Flow Modeling of Jointed Rock Block Behavior under Uniaxial Loading, Int. J. Rock Mech. Min. Sci., 2001, vol. 38, no. 5, pp. 641–657.
22. Nasseri, M.H.B., Rao, K.S., and Ramamurthy, T., Anisotropic Strength and Deformational Behavior of Himalayan Schists, Int. J. Rock Mech. Min. Sci., 2003, vol. 40, pp. 3–23.
23. Li J., Wang Z., Wang Y., and Chang H. Analysis and countermeasures of large deformation of deep-buried tunnel excavated in layered rock strata: a case study, Eng. Fail. Anal., 2023, Vol. 146. 107057.
24. Song, S., Li, S., Li, L., Shi, S., Zhou, Z., Liu, Z., Shang, C., and Sun, H., Model Test Study on Vibration Blasting of Large Cross-Section Tunnel with Small Clearance in Horizontal Stratified Surrounding Rock, Tunn. Undergr. Space Technol., 2021, vol. 92. 103013.
25. Zhao, D., He, Q., Ji, Q., Wang, F., Tu, H., and Shen, Z., Similar Model Test of a Mudstone-Interbedded–Sandstone-Bedding Rock Tunnel, Tunn. Undergr. Space Technol., 2023, vol. 140. 105299.
26. Nunes, M.A. and Meguid, M.A., AStudy on the Effects of Overlying Soil Strata on the Stresses Developing in a Tunnel Lining, Tunn. Undergr. Space Technol., 2009, vol. 24, pp. 716–722.
27. Sun, X., Chen, F., He, M., Gong, W., Xu, H., and Lu, H., Physical Modeling of Floor Heave for the Deep-Buried Roadway Excavated in Ten Degree Inclined Strata Using Infrared Thermal Imaging Technology, Tunn. Undergr. Space Technol., 2017, vol. 63, pp. 228–243.
28. Sun, X., Zhao, C., Zhang, Y., Chen, F., Zhang, S., and Zhang, K., Physical Model Test and Numerical Simulation on the Failure Mechanism of the Roadway in Layered Soft Rocks, Int. J. Min. Sci. Technol., 2021, vol. 31, no. 2, pp. 291–302.
29. TG/GW102-2019. Rules for Maintenance of Ordinary Speed Railway Lines, China Railway Publishing House, Beijing, China, 2019.
30. TG/GW115-2012. Rules for Maintenance of Ballastless Track Lines of High-Speed Railways, China Railway Publishing House, Beijing, China, 2012.
PREVENTION AND CONTROL OF COALBURST IN TUNNELS USING GANTRY ENERGY-ABSORBING HYDRAULIC SUPPORT
Xiao Yonghui, Pan Yishan*, and Li Yuwei
School of Physics, Liaoning University, Shenyang, Liaoning, 110036 China
*e-mail: xiaoyonghui@lnu.edu.com
Liaoning Technical University, Fuxin, 123000 China
School of Environment, Liaoning University, Shenyang, Liaoning, 110036 China
In response to the engineering problem of severe damage to tunnels caused by coalburst, which leads to support failure and personnel casualties, a method of preventing coalburst through the support and energy-absorbing effects of supports has been proposed. An energy-absorbing hydraulic support is designed for circular or arched tunnels: it is called gantry energy-absorbing hydraulic support. The support mainly consists of three parts: an arched top beam, a micro-arc base, and an energy-absorbing hydraulic column. Through experiments, two types of the energy-absorbing components were compressed and tested. The results show that the average yield strength of a single anti-impact component is 1840 kN, and the energy absorption is 180 kJ when compressed by 100 mm. The average yield strength of the double section anti-impact component is 2460 kN, and the energy absorption is 410kJ when compressed by 100 mm. Both of these energy-absorbing components with a total energy absorption capacity of over 700 kJ are used in actual gantry energy-absorbing hydraulic support.
Coalburst, tunnel support, energy-absorbing hydraulic support, coalburst-preventing design
DOI: 10.1134/S1062739124020078
REFERENCES
1. Pan, Y., Study on the Occurrence and Failure Process of Coal Burst, Beijing, Tsinghua University, 1999.
2. Pan, Y., Coalburst of Coal Mine, Beijing, Science Press, 2018.
3. Pan, Y., Song, Y., and Liu, J., Pattern, Change and New Situation of Coal Mine Coal Burst Prevention and Control in China, Chinese J. Rock Mech. Eng., 2023, vol. 42, no. 9, pp. 486–522.
4. Qi, Q., Li, Y., Zhao, S., et al., Seventy Years Development of Coal Mine Coal Burst in China: Establish and Consideration of Theory and Technology System, J. Coal Sci. Technol., 2019, vol. 47, no. 9, pp. 1–40.
5. Pan, Y., Disturbance Response Instability Theory of Coal Burst in Coal Mine, J. China Coal Society, 2018, vol. 43, no. 8, pp. 2091–2098.
6. Lai, Y., Cui, L., and Sun, H., Introduction to Energy Support, J. Shan Xi Coal, 1994.
7. Zheng, Y., Wang, M., Peng, Y., et al., Soft Rock Tunnels in Simulation Experiments, J. Mine Construction Technol., 1988.
8. Sun, J., The Understanding to Develop the High Stress Zone Lithology and Tunnel Surrounding Rock Stability, Chinese J. Rock Mech. Eng., 1988, vol. 7, no. 2, pp. 185–188.
9. He, M. and Li, C., Two Key Points of Anchor Supporting Technology and Its Application, J. Mine Construction Technol., 1994, vol. 19, no. 1, pp. 21–31.
10. Pan, Y., Xiao, Y., Li, Z., et al., Study of Tunnel Support Theory of Coal Burst in Coal Mine and Its Application, J. China Coal Society, 2014, vol. 39, no. 2, pp. 222–227.
11. Jiang, Y., Pan, Y., Jiang, F., et al., State of the Art Review on Mechanism and Prevention of Coal Bumps in China, J. China Coal Society, 2014, vol. 39, no. 2, pp. 205–213.
12. Kang, H., Wu, Y., He, J., et al., Rock Bolting Performance and Field Practice in Deep Tunnels with Coalburst, J. Rock Soil Mech., 2015, vol. 36, no. 9, pp. 2225–2233.
13. Li, Z., Zhang, S., Cao, W., et al., Development and Application of Antidumping Gateway Hydraulic Powered Support, J. Coal Technol., 2007, vol. 35, no. 1, pp. 54–58.
14. Xu, W. and Gu, H., Heighten of Coal Burst Performance of Hydraulic Support in Mine, J. Coal Technol., 2010, vol. 35, no. 11, pp. 1809–1814.
15. Yu, Z. and Guan, W., Comprehensive Measures Should Be Taken to Use Anti-Erosion Tunnels Supports to Ensure the Safe Production of Severe Impact Ground Pressure Areas, J. Opencast Min. Technol., 2013, no. 5, pp. 81–84.
16. Zheng, L., The Application of Tunnels Hydraulic Support in the Percussion Ground Pressure Working Face, J. Zhongzhou Coal, 2011, no. 12, pp. 71–74.
17. Yan, H. and Gong, Y., Analysis of Coal Burst Performance of Hydraulic Support, J. Coal Technol., 2010, vol. 35, no. 11, pp. 1809–1814.
18. Wang, W., Pan, Y., and Xiao, Y., Synergistic Resin Anchoring Technology of Rebar Bolts in Coal Mine Tunnels, Int. J. Rock Mech. Min. Sci., 2022, vol. 151. 105034.
19. Wang, W., Pan, Y., and Xiao, Y., Synergistic Mechanism and Technology of Cable Bolt Resin Anchoring for Tunnels Roofs with Weak Interlayers, J. Rock Mech. Rock Eng., 2022, vol. 55, no. 6, pp. 3451–3472.
20. Kong, R., Tuncay, E., Ulusay, R., Zhang, X., and Feng, X.., An Experimental Investigation on Stress-Induced Cracking Mechanisms of Volcanic Rock, J. Eng. Geol., 2021, vol. 280. 105934.
21. Wang, K. and Pan, Y., An Unified Theory of Energy-Absorbing and Anti-Impact for Surrounding Rock and Support in Coalburst Mine, J. Rock Soil Mech., 2015, vol. 36, no. 9, pp. 2585–2590.
22. Pan, Y., Xiao, Y., Luo, H., et al., Study on Safety of Coal Burst Mine, J. China Coal Society, 2023, vol. 48, no. 5, pp. 1846–1860.
23. Pan, Y., Xiao, Y., and Li, G., Tunnels Hydraulic Support for Coal Burst Prevention in Coal Mine and Its Application, J. China Coal Society, 2020, vol. 45, no. 1, pp. 90–99.
24. Xiao, Y., Pan, Y., Chen, J., et al., Study on Buckling Energy-Absorbing Reliability of Energy-Absorbing Component of Tunnels Coal Burst Preventing Support, J. Min. Safety Eng., 2022, vol. 39, no. 2, pp. 317–327.
25. Ma, X., Pan, Y., Zhang, J., et al., Design and Performance Research on Core Energy Absorption Component of Anti-Impact Support, J. China Coal Society, 2018, vol. 43, no. 4, pp. 1171–1178.
ESTIMATING THICKNESS OF DEFECTS AT ROCK–CONCRETE LINING INTERFACE BY GROUND-PENETRATING RADAR
E. V. Denisova*, K. O. Sokolov**, A. P. Khmelinin, A. I. Konurin, and D. V. Orlov
Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
*e-mail: slimthing@mail.ru
Chersky Institute of Mining of the North, Siberian Branch, Russian Academy of Sciences,
Yakutsk, 677980 Russia
**e-mail: k.sokolov@ro.ru
Ground-penetrating radar is used to study defects in the form of internal layers in concrete structures. It is found that modulus of deflection coefficient of GPR signals changes as function of the layer thickness and electromagnetic properties of the material filling the layer (sand, wet sand or air). The experimental and numerical research used the method of peak-to-peak amplitude ratio, which enabled determining the Fresnel coefficients for the upper and lower boundaries of a layer. The minimal layer thickness recorded by GPR was 2 mm.
Concrete lining, internal, rock mass, finite-difference time-domain method, electromagnetic properties, ground-penetrating radar
DOI: 10.1134/S106273912402008X
REFERENCES
1. Feng Peng, Dai Feng, Shuai Kewei, and Wei Mingdong, Dynamic Mechanical Behaviors of Pre-Fractured Sandstone with Noncoplanar and Unparallel Flaws, Mech. Materials, 2022, vol. 166. 104219.
2. Guo Tengfei, Kewei Liu, Li Xiang, Peng Jin, Jiacai Yang, Zhang Aimin, and Zou Liansong, Effect of Crack Angle and Concrete Strength on the Dynamic Fracture Behavior of Rock-Based Layered Material Containing a Pre-Existing Crack, Archives Civil and Mech. Eng., 2023, vol. 23.
3. Azarov, A., Patutin, A., and Serdyukov, S., Hydraulic Fracture Propagation Near the Cavity in a Poroelastic Media, Applied Sci., 2021, vol. 11. 11004.
4. Oudeika, M., İlkimen, E., Tasdelen, S., and Aydin, A., Distinguishing Groundwater Flow Paths in Fractured Rock Aquifers Formed under Tectonic Stress Using Geophysical Techniques: Сankurtaran Basin, Denizli, Turkey, Int. J. Env. Research, 2020, vol. 14(5), pp. 567–581.
5. Bahati, P.A., Le, V.D., and Lim, Y., An Impact Echo Method to Detect Cavities Between Railway Track Slabs and Soil Foundation, J. Eng. Appl. Sci., 2021, vol. 68.
6. Hussin, A.P. and Wang Yudi, Comparison Study of Ultrasonic and Surface Wave Methods for Crack Depth Detection in Concrete Panels, Academic J. Sci. Technol., 2023, vol. 5, pp. 121–125.
7. Sizin, P.E., Voznesenskii, A.S. and Kidima-Mbombi, L.K., Influence of Random Parameter Joint Length on Electrical Conductivity, Mining Sciences and Technologies, 2023, no. 8(1), pp. 30–38.
8. Huang Tongxing, Zhang Chaoyang, Lu Dun, Zeng Qiuyu, Fu Wenjie, and Yan Yang, Improving FMCW GPR Precision through the CZT Algorithm for Pavement Thickness Measurements, Electronics, 2022, vol. 11.
9. Wang Siqi, Leng Zhen, Zhang Zeyu, and Sui Xin, Automatic Asphalt Layer Interface Detection and Thickness Determination from Ground-Penetrating Radar Data, Construction and Building Materials, 2022, vol. 357.
10. He Wenchao, Lai Wallace, Sui Xin, and Giannopoulos Antonios, Delamination Characterization in Thin Asphalt Pavement Structure Using Dispersive GPR Data, Construction and Building Materials, 2023, vol. 402.
11. De Coster Albéric, Van der Wielen Audrey, Grégoire Colette, and Lambot, S., Evaluation of Pavement Layer Thicknesses Using GPR: A Comparison Between Full-Wave Inversion and the Straight-Ray Method, Construction and Building Materials, 2018, vol. 168, pp. 91–104.
12. Liu Hai, Xie Xiongyao, and Sato Motoyuki, Accurate Thickness Estimation of a Backfill Grouting Layer Behind Shield Tunnel Lining by CMP Measurement Using GPR, 14th Int. Conf. on Ground Penetrating Radar—GPR, 2012, pp. 137–142.
13. Harseno Regidestyoko, Lee Sung-Jin, Kee Seong-Hoon, and Kim Sungmo, Evaluation of Air-Cavities Behind Concrete Tunnel Linings Using GPR Measurements, Remote Sensing, 2022, vol. 14.
14. Zerkal, E., Kalashnikov, A., Lapshinov, A., and Tyutyunkov, A., Using Ground Penetrating Radars to Detect Internal Defects in Concrete Foundation Slabs, Vestnik MGSU, 2020, vol. 15, pp. 980–987.
15. Van der Wielen Audrey, Characterization of Thin Layers into Concrete with Ground Penetrating Radar, Ph. D. Thesis, University of Liege, 2014.
16. Ristic, A., Bugarinović, Ž., Vrtunski, M., Govedarica, M., and Pajewski, L., Application of GPR in Assessing of Concrete Dam Structures Health, 22nd EGU General Assembly, 2020, id.7797 2020.
17. Rayleigh, J.W.S., The Theory of Sound, vol. 2, Dover Publications, New York, 1945.
18. Widess, M.B., How Thin is a Thin Bed? Geophysics, 1973, vol. 38, pp. 1176–1180.
19. Bradford, J. and Deeds, J., Ground-Penetrating Radar Theory and Application of Thin-Bed Offset-Dependent Reflectivity, Geophysics, 2006, vol. 71. 10.1190/1.2194524
20. Deparis, J. and Garambois, S., On the Use of Dispersive APVO GPR Curves for Thin-Bed Properties Estimation: Theory and Application to Fracture Characterization, Geophysics, 2009, vol. 74(1), pp. J1–J12.
21. Kadlec, R. and Fiala, P., The Response of Layered Materials to EMG Waves from a Pulse Source, Progress Electromagnetics Research, 2015, vol. 42, pp. 179–187.
22. Zubkovich, S.G., Statisticheskie kharakteristiki rediosignalov, otrazhennykh ot zemnoi poverkhnosti (Statistical Characteristics of Radio Signals Reflected from Ground Surface), Moscow: Sovetskoe radio, 1968.
23. Giannopoulos, A., Modeling Ground-Penetrating Radar by GprMax, Construction and Building Materials, 2005, vol. 19, pp. 755–762.
24. Yee, K., Numerical Solution of Initial Boundary Value Problems Involving Maxwell’s Equations in Isotropic Media, IEEE, Trans. Antennas, Propag., 1966, vol. 14, pp. 302–307.
25. Kunz, K. and Luebbers, R., The Finite Difference Time Domain Method for Electrodynamics, CRC Press, 2006.
26. Taflove, A. and Hagness, S.C., Computational Electrodynamics, Artech House, 2005.
27. Warren, C., Giannopoulos, A., and Giannakis, I. GprMax: Open Source Software to Simulate Electromagnetic Wave Propagation for Ground Penetrating Radar, Comput. Phys. Commun., 2016, vol. 209, pp. 163–170.
28. Effects of Building Materials and Structures on Radiowave Propagation above about 100 MHz, Available at: https://www.itu.int/dms_pubrec/itu-r/rec/p/R-REC-P.2040-1-201507-S !!PDF-E.pdf
29. Van der Wielen, A., Courard, L., and Nguyen, F., Static Detection of Thin Layers into Concrete with Ground Penetrating Radar, Restoration Buildings and Monuments, 2012, vol. 18.
30. Baryshnikov, V., Khmelinin, A., and Denisova, E., GPR Detection of Inhomogeneities in Concrete Lining of Underground Tunnels, Journal of Mining Science, 2014, vol. 50, pp. 25–32.
31. Readgssi 0.0.22 Documentation, Available at: https://readgssi.readthedocs.io/en/latest/index.html
32. Oparin, V.N., Denisova, E.V., Khmelinin, A.P., Sokolov, K.O., and Konurin, A.I., The Application of Shortwave Band GPR in Investigation of Surrounding Rock-and-Lining Interface, Journal of Mining Science, 2023, vol. 59, no. 6, pp. 885–900.
GROUND SURFACE MOVEMENTS AND DEFORMATIONS AT ALMAZ-ZHEMCHUZHINA DEPOSIT FROM SURVEYING TECHNIQUES
A. A. Panzhin* and N. A. Panzhina
Institute of Mining, Ural Branch, Russian Academy of Sciences,
Yekaterinburg, 620075 Russia
*e-mail: panzhin@igduran.ru
Movements and deformations of ground surface at the Almaz-Zhemchuzhina deposit are studied using surveying techniques. The source data in estimation of parameters and patterns of the stress–strain behavior were observations over the recent geodynamic movements using survey markers and GPS / GLONASS technologies. The proposed scientific approach and guidelines on the use of the studies of trend and cycling geodynamic movements made it possible to determine the natural stress–strain parameters and to accomplish zoning of the test area by the intensities of the movements.
Recent geodynamic movements, rock mass, satellite geodesy, strain tensor, movement vector, monitoring, zoning
DOI: 10.1134/S1062739124020091
REFERENCES
1. Balek, A.E., Kharisov, T.F., and Avdeev, A.N., Justified Optimization of Mining Sequence in High-Stress and Low-Strength Rock Mass, Izv. vuzov. Gornyi Zh, 2023, no. 3, pp. 55–65.
2. Galchenko, Yu.P., Environmental Assessment of Geomechanical Behavior of Lithosphere in Sustainable Development of Mineral Resources, Gornyi Zhurnal, 2024, no. 1, pp. 4–8.
3. Sashurin, A.D., Geomechanics in Mining: Basic and Applied Research, Gornyi Zhurnal, 2012, no. 1, pp. 29–32.
4. Konovalova, Yu.P., Inclusion of Geodynamic Factors in Decision-Making on Safe Locations for Critical Subsoil Use Facilities, Theses of Cand. Tech. Sci. Dissertation, Yekaterinburg: UrO RAN, 2024.
5. Konovalova, Yu.P. and Ruchkin, V.I., Assessment of Influence of Short-Period Geodynamic Movements on Stress–Strain Behavior of Rock Mass, Mining Informational and Analytical Bulletin—GIAB, 2020, no. 3-1, pp. 90–104.
6. Sashurin, A.D., Evolution of Stress–Strain Behavior of Hierarchical Block Rock Mass, Probl. nedropol’z., 2015, no. 1 (4), pp. 38–44.
7. Kocharyan, G.G., Kulikov, V.I., and Pavlov, D.V., Impact of Massive Blasts on Stability of Tectonic Faults, Journal of Mining Science, 2019, vol. 55, no. 6, pp. 905–913.
8. Panzhin, A.A., The Spatial and Temporal Geodynamic Monitoring at Sites in Subsoil, Gornyi Zhurnal, 2012, no. 1, pp. 39–43.
9. Provedenie geomekhanicheskikh issledovanii po opredeleniyu zakonomernostei razvitiya napryazhenno-deformirovannogo sostoyaniya prikonturnogo massiva i v betonnoi krepi stvola “Skipovoi” v protsesse nachal’nogo etapa stroitel’stva v interval do 700 m (Geomechanical Research Procedure toward Stress–Strain Pattern Determination in Adjacent Rock Mass and in Concrete Lining in Skip Shaft during Phase I Construction Period in the Interval Depth to 700 m), R&D Project Report, Yekaterinburg: UGD UrO RAN, 2016.
10. Panzhin, A.A. and Ruchkin, V.I., Recent Geodynamic Activity Diagnostics in Mines of Donskoi GOK, Marksheider. nedropol’z., 2013, no. 6 (68), pp. 32–35.
11. Kolmogorov, V.G., Mazurov, B.T., and Panzhin, A.A., Algorithm of Divergence of Ground Surface Movement Vector Field by Geodetic Data, Geodez. kartograf., 2018, vol. 79, no. 10, pp. 46–53.
12. Panzhin, A.A., Satellite Survey-Based Analysis of Short-Period Deformations in Faulting Zone in the Upper Crust, Marksheider. nedropol’z., 2003, no. 2, pp. 43–54.
13. Panzhin, A. and Panzhina, N., Monitoring of the Stress–Strain State of Open Pits’ Adjacent Rock Mass, E3S Web of Conf., 2020, vol. 192. 04017.
14. Fyalkovskii, A.L., Data Processing in Geodetic Monitoring of Dynamic Objects Using GNSS, Inzh. izysk., 2017, no. 9, pp. 42–52.
15. Balek, A.E. and Kharisov, T.F., Identification of Geodynamically Active Blocks Structures in Rock Masses, Mining Informational and Analytical Bulletin—GIAB, 2021, no. 5-2, pp 30–41.
16. Ozornin, I.L., Balek, A.E., and Kharisov, T.F., Loading of Mine Shaft Lining in Hierarchically Blocky Medium under the Influence of Recent Geodynamic Movements, Mining Informational and Analytical Bulletin—GIAB, 2020, no. 3-1, pp. 161–169.
17. Mel’nik, V.V., Solving Problem Connected with Higher Water Content of Ore during Stoping in Kazakhstan’s Tenth Anniversary of Independence Mine, Probl. nedropol’z., 2021, no. 2 (29), pp. 17–26.
18. Tarasov, V.V. and Aptukov, V.N., Laser Scanning Monitoring of Deformations in Concrete Lining of Mine Shafts, Journal of Mining Science, 2022, vol. 58, no. 5, pp. 868–874.
19. Balek, A.E., Phenomenon of Self-Organization of Deformation Field in Rock Masses and Applications in Geomechanical Problem Solving, Probl. nedropol’z., 2016, no. 4 (11), pp. 90–96.
ROCK FRACTURE
ROCKBURST HAZARD AND ENERGY RELEASE IN COAL IN CASE OF THERMAL‒MECHANICAL COUPLING
Dewei Fan, Aiwen Wang*, Yishan Pan, Linghai Kong, Shankun Zhao, and Kun Lv
Institute of Disaster Rock Mechanics, Liaoning University, Shenyang,
110036 P. R. China
*e-mail: waw_lnt@126.com
Environmental Engineering College, Liaoning University, Shenyang, 110036 P. R. China
School of Mechanics and Engineering, Liaoning Technical University, Fuxin, 123000 P. R. China
Coal Science and Technology Research Institute Co., Ltd, China
The spontaneous high-temperature conditions in deep mining cause significant changes in one of the factors that determine the risk of rock burst in coal mine roadways. Therefore, based on the test method of the bursting proneness of coal, uniaxial loading tests were conducted on coal specimens under different thermal loads to explore the variations in the bursting proneness and energy release of heated coal, analyze the variations and mechanism controlling the coal skeleton, physicochemical properties, quality, fracture mode evolution, and macrocrack quantity with different loading rates, and calculate and discuss the changes in the critical conditions of a coal–rock system during heating. In summary, the study of the change in bursting energy release caused by the heating of coal can lay the foundation for the engineering-based prevention and control of composite dynamic disasters in deep coal mines.
Coal samples, thermal–mechanical coupled loading, bursting proneness and energy release, fracture mode, coal mass
DOI: 10.1134/S1062739124020108
REFERENCES
1. Xie, H.P., Zhang, R., Zhang, Z.T., Gao, M.Z., Li, C.B., He, Z.Q., Li, C., and Liu, T., Reflections and Explorations on Deep Earth Science and Deep Earth Engineering Technology, J. China Coal Soc., 2023, vol. 48, no. 11, pp. 3959−3978.
2. Xia, K.W., Wang, S., Xu, Y., Chen, R., and Wu, B.B., Advances in Experimental Studies for Deep Rock Dynamics, Chin. J. Rock Mech. Eng., 2021, vol. 40, no. 03, pp. 448−475.
3. Xie, H.P., Zhou, H.W., Xue, D.J., Wang, H.W., Zhang, R., and Gao, F., Research and Consideration on Deep Coal Mining and Critical Mining Depth, J. China Coal Soc., 2012, vol. 37, no. 4, pp. 535−542.
4. Pan, Y.S., Yang, Y., Luo, H., Li, Z.H., and Zhu, X.J., Experimental Study on the Mechanical Charge Induction Law of the Coal Bumping Proneness, J. Saf. Environ., 2018, vol. 18, no. 1, pp. 119−123.
5. Yin, Y.C., Zhao, T.B., Li, H.T., Tang, X.X., and Zhu, Y.H., Bursting Proneness Test and Evaluation Index Analysis of Coal under Different Loading Stiffness, Chin. J. Rock Mech. Eng., 2023, vol. 42, no. 10, pp. 1−11.
6. Zhao, T.B., Yin, Y.C., Tan, Y.L., Xing, M.L., Tang, X.X., and Li, C.C., Development of a Rock Testing System with Changeable Stiffness and its Application in the Study on the Rock Failure Mechanical Behavior, Chin. J. Rock Mech. Eng., 2022, vol. 41, no. 9, pp. 1846−1857.
7. Sun, R.D., Zhang, C.J., Li, H.P., and Jia, B.B., Study on the Influence of Multi-Scale Effect on Coal Bursting Proneness, Coal Sci. and Technol., 2022, vol. 50, no. S2, pp. 170−179.
8. Ren, J.X., Jing, S.A., and Zhang, K., Study on Failure Mechanism and Acoustic Emission Characteristics of Outburst Proneness Coal Rock under Dynamic and Static Loading, Coal Sci. and Technol., 2021, vol. 49, no. 3, pp. 57−63.
9. Zhang, G.H., Deng, Z.G., Jiang, J.J., Li, S.G., Mo, Y.L., Wang, J.D., and Ma, B.W., Acoustic Emission Characteristics of Coal with Strong Impact Proneness under Different Loading Modes, J. Min. and Safety Eng., 2020, vol. 37, no. 5, pp. 977−982.
10. Chen, G.B., Li, T., Zhang, G.H., Li, J.W., Liu, G., He, Y.L., and Li, Y., Determination of Bursting Proneness of Coal-Rock Combined Body Based on Residual Energy Release Rate Index, Chin. J. Rock Mech. Eng., 2023, vol. 42, no. 6, pp. 1366−1383.
11. Liu, X.F., Wang, X.R., Wang, E.Y., Kong, X.G., Zhang, C., Liu, S.J., and Zhao, E.L., Effects of Gas Pressure on Bursting Proneness of Coal under Uniaxial Conditions, J. Nat. Gas Sci. Eng., 2017, vol. 39, pp. 90−100.
12. Wang, P., Jia, H.J., and Zheng, P.Q., Sensitivity Analysis of Bursting Proneness for Different Coal-Rock Combinations Based on their Inhomogeneous Characteristics, Geomat. Nat Hazards Risk., 2020, vol. 11, no. 1, pp. 149−159.
13. Gong, F.Q., Zhao, Y.J., Wang, Y.L., and Peng, K., Research Progress of Coal Bursting Proneness Indices and Coal Burst “Human – Coal – Environment” Three Elements Mechanism, J. China Coal Soc., 2022, vol. 47, no. 5, pp. 1974−2010.
14. Qi, Q.X., Pan, Y.S., Li, H.T., Jiang, D.Y., Shu, L.Y., Zhao, S.K., Zhang, Y.J., Pan, J.F., Li H.Y., and Pan, P.Z., Theoretical Basis and Key Technology of Prevention and Control of Coal-Rock Dynamic Disasters in Deep Coal Mining, J. China Coal Soc., 2020, vol. 45, no. 5, pp. 1567−1584.
15. Luo, H., Yu, J.K., Pan, Y.S., Wang, J.L., and Zhang, Y., Electric Charge Induction Law of Coal Rock Containing Gas with Bursting Tendency during Loading Failure Process, J. China Coal Soc., 2020, vol. 45, no. 2, pp. 684–694.
16. Li, L., Li, H.Y., Li, F.M., Qi, Q.X., Sun, Z.X., Mo, Y.L., and Liu, X., Experimental Study of the Effect of Bedding Angle on Hard Coal Bursting Proneness, J. Min. Saf. Eng., 2019, vol. 36, no. 5, pp. 987−994.
17. Zhu, Z.J., Yao, Z.H., Wang, L G., Han, J., and Wu, Y.L., Experimental Study on the Influence Mechanism of Cracks Distribution on Coal-Rock Bursting Proneness, J. Min. Saf. Eng., 2023, vol. 40, no. 3, pp. 554−562.
18. Zhu, Z.J., Li, R.Q., Tang, G.S., Han, J., Wang, L.G., and Wu, Y.L., Research on Energy Dissipation Characteristics and Coal Burst Tendency of Fissured Coal Mass, Coal Sci. Technol., 2023, vol. 51, no. 5, pp. 32−44.
19. Wang, A.W., Gao, Q.S., and Pan, Y.S., Experimental Study of Rock Burst Prevention Mechanism of Bursting Proneness Reduction − Deformation Control − Energy Dissipation Based on Drillhole in Coal Seam, Rock Soil Mech., 2021, vol. 42, no. 5, pp. 1230−1244.
20. Wang, A.W., Gao, Q.S., Pan, Y.S., Song, Y.M., and Li, L., Bursting Proneness and Energy Dissipation Laws of Prefabricated Borehole Coal Specimens, J. China Coal Soc., 2021, vol. 46, no. 3, pp. 959−972.
21. Yin, Y.C., Chen, B., Zhang, Y B., He, S.D., Yao, C.R., and Liu, C.C., Experimental Study and Evaluation on the Weakening of Bursting Proneness of Coal with Boreholes, Eng. Failure Anal., 2023, vol. 155, p. 107754.
22. Hu, G.Z., Wang, C.B., Xu, J.L., Wu, X.F., and Qin, W., Experimental Investigation on Decreasing Burst Tendency of Hard Coal Using Microwave Irradiation, J. China Coal Soc., 2021, vol. 46, no. 2, pp. 450−465.
23. Tang, M.Y., Experimental Study on the Influence of High Temperature on the Mechanical Properties of Deep Coal and Rock, Coal Mine Mode., 2023, vol. 32, no. 5, pp. 51−55.
24. Kong, B., Zhong, J.H., Lu, W., Hu, X.M., Xin, L., Zhang, B., Zhang, X.L., and Zhuang, Z.D., Study on the Change Pattern of Acoustic Emission Signal and Generation Mechanism during Coal Heating and Combustion Process, Coal Sci. Technol., 2023, pp. 1−8.
25. Wang, X.Q., Ma, H., Qi, X.H., Gao, K., and Li, S.N., Experimental Research on the Correlation between Thermal Shock Coal Micro-Damage and Energy Response Mechanism, J. Saf. Environ., 2023, vol. 23, no. 2, pp. 458−466.
26. Honda, H., Sanada, Y., and Furuta, T., Mechanical and Thermal Properties of Heat Treated Coals, Carbon, 1966, vol. 3, no. 4, pp. 421−428.
27. Jenkins, R.G., Nandi, S.P., and Walker, P.L., Reactivity of Heat-Treated Coals in Air at 500°C, Fuel, 1973, vol. 52, no. 4, pp. 288−293.
28. Zhang, Y.X., Rock Mechanics, China Architecture and Building Press, 2004.
29. Qi, X.H., Ma, H., Wang, X.Q., Zhang, Z.G., and Lv, Y.C., Impacts of Thermal Shocks on Meso-Damage and Mechanical Properties of Coal, China Saf. Sci. J., 2020, vol. 30, no. 12, pp. 85 92.
30. Lu, Z.G., Ju, W.J., Gao, F.Q., Yi, K., and Sun, Z.Y., Bursting Proneness Index of Coal Based on Nonlinear Storage and Release Characteristics of Elastic Energy, Chin. J. Rock Mech. Eng., 2021, vol. 40, no. 8, pp. 1559−1569.
31. Xie, H.P., Ju, Y., and Li, L.Y., Criteria for Strength and Structural Failure of Rocks Based on Energy Dissipation and Energy Release Principles, Chin. J. Rock Mech. Eng., 2005, vol. 24, no. 17, pp. 3003−3010.
32. Gong, F.Q., Yan, J.Y., and Li, X.B., A new criterion of rock burst proneness based on the linear energy storage law and the residual elastic energy index, Chin. J. Rock Mech. Eng., 2018, vol. 37, no. 9, pp. 1993–2014.
33. Lu, W., Zhuang, Z.D., Zhang, W.R., Zhang, C.F., Song, S.L., Wang, R.Q., and Kong, B., Study on the Pore and Crack Change Characteristics of Bituminous Coal and Anthracite after Different Temperature Gradient Baking, Energy and Fuels, 2021, vol. 35, no. 23, pp. 19448−19463.
34. Pan, Y.S., Disturbance Response Instability Theory of Rockburst in Coal Mine, J. China Coal Soc., 2018, vol. 43, no. 8, pp. 2091−2098.
STUDY ON ENERGY ABSORPTION CHARACTERISTICS OF SINGLE FREE FACE COAL UNDER IMPACT LOAD
Leng Yuanhao, Xu Lianman, Yang Fengshuo, Li Hongbin, Ma Yufei, Li Na*, Wang Hongyang, Yan Weiting, and Jiang Xinjian
School of Environment, Liaoning University, Shenyang, 110036 China
Inner Mongolia Yitai Group Co., Ltd., Erdos, 017000 China
School of Mechanics and Engineering, Liaoning Technical University, Fuxin, 123000 China
*e-mail: leng19961116@163.com
The energy absorption buffer test system is developed, the impact load compression test of single free face coal sample is carried out, and the digital speckle analysis technology is used to obtain the law of the influence of the hole rate, which is the volume of the borehole divided by the volume of the coal sample, on the energy absorption rate and deformation and failure characteristics of coal sample after drilling. The change of the drill layout of two and three holes in coal samples has little effect on the energy absorption performance. The complete coal sample is easy to form vertical main cracks, and the drilled coal sample first forms stress concentration near the borehole, and a large number of cracks appear. The multihole coal samples are easy to form cracks that make the boreholes connected, which converts more impact energy into surface energy and improves the energy absorption rate of coal samples.
Coal sample, energy absorption, borehole volume, simple free surface, rock burst, impact load
DOI: 10.1134/S106273912402011X
REFERENCES
1. Pan, Y., Rock Burst in Coal Mine, Beijing: Sci. Press, 2018.
2. Xu, L., Pan, Y., Zeng, X., Li, G., and Li, Z., Study on the Energy-Absorbing Cushion Performance of Roadway Surrounding Rock Crushing Zone, J. China Coal Soc., 2015, no. 6, pp. 1376–1382.
3. Qi, Q., Li, Y., Zhao, S., et al., Seventy Years Development of Coal Mine Rock Burst in China: Establishment and Consideration of Theory and Technology System, Coal Sci. and Technol., 2019, vol. 47, no. 9, pp. 1–40.
4. Pan, Y., Xiao, Y., Luo, H., et al., Study on Safety of Rock Burst Mine, J. China Coal Soc., 2023, vol. 48, no. 5, pp. 1846–1860.
5. Pan, Y. and Dai, L., Theoretical Formula of Rock Burst in Coal Mines, J. China Coal Soc., 2021, vol. 46, no. 3, pp. 789–799.
6. Chen, T., Ruan, X., Wang, X., and Zhu, Z., Analysis of Influence Factors of Drilling Pressure Relief in Preventing Rock Burst, Coal Technol., 2023, vol. 42, no. 1, pp. 119–123.
7. Jiang, Y., Pan, Y., Jiang, F., et al., State of the Art Review on Mechanism and Prevention Coal Bumps in China, J. China Coal Soc., 2014, vol. 39, no. 2, pp. 205–213.
8. Ma, B., Deng, Z., Zhao, S., and Li, S., Analysis on Mechanism and Influencing Factors of Drilling Pressure Relief to Prevent Rock Burst, Coal Sci. and Technol., 2020, vol. 48, no. 5, pp. 35–40.
9. Wang, A., Gao, Q., Pan, Y., et al., Bursting Liability and Energy Dissipation Laws of Prefabricated Borehole Coal Samples, J. China Coal Soc., 2021, vol. 46, no. 3, pp. 959–972.
10. Zhang, S., Li, Y., Shen, B., et al., Effective Evaluation of Pressure Relief Drilling for Reducing Rock Bursts and its Application in Underground Coal Mines, Int. J. Rock Mech. and Min. Sci., 2019, vol. 1147–16.
11. Li, X., Zhou, Z., Ye, Z., et al., Study of Rock Mechanical Characteristics under Coupled Static and Dynamic Loads, Chinese J. Rock Mech. and Eng., 2008, vol. 200, no. 7, pp. 1387–1395.
12. Dai, B., Shan, Q., Chen, Y., et al., Mechanical and Energy Dissipation Characteristics of Granite under Cyclic Impact Loading, J. Central South University, 2022, vol. 29, no. 1, pp. 116–128.
13. Li, C., Xu, Y., Zhang, Y., et al., Study on Energy Evolution and Fractal Characteristics of Cracked CoalRock-Like Combined Body under Impact Loading, Chinese J. Rock Mech. and Eng., 2019, vol. 38, no. 11, pp. 2231–2241.
14. Gong, F., Yan, J., Luo, S., et al., Investigation on the Linear Energy Storage and Dissipation Laws of Rock Materials under Uniaxial Compression, Rock Mech. and Rock Eng., 2019, vol. 52, no. 11, pp. 4237–4255.
15. Li, N., Research on the Mechanism of Coal Seam Borehole to Prevent Rock Burst, Liaoning Technical University, 2022.
16. Ma, Z., Jiang, Y., Li, Y., et al., Experimental Study on the Influence of Loading Rate and Confining Pressure on Coal Energy Evolution, Chinese J. Geotech. Eng., 2016, vol. 38, no. 11, pp. 2114–2121.
17. Zhao, Y., Gong, S., and Huang, Y., Experimental Study on Energy Dissipation Characteristics of Coal Samples under Impact Loading, J. China Coal Soc., 2015, vol. 40, no. 10, pp. 2320–2326.
18. Ping, Q., Ma, Q., and Yuan, P., Energy Dissipation Analysis of Stone Specimens in SHPB Tensile Test, J. Min. and Safety Eng., 2013, vol. 30, no. 3, pp. 401–407.
19. Li, X., Gong, F., Gao, K., et al., Test Study of Impact Failure of Rock Subjected to One-Dimensional Coupled Static and Dynamic Loads, Chinese J. Rock Mech. and Eng., 2010, vol. 29, no. 2, pp. 251–260.
20. Chen, Y., Li, M., Pu, H., et al., Experimental Study on Dynamic Mechanical Characteristics of Coal Specimens Considering Initial Damage Effect of Cyclic Loading, J. China Coal Soc., 2023, vol. 48, no. 5, pp. 2123–2137.
21. Song, Y., Zhang, Y., Xu, H., et al., Temporal and Spatial Characteristics of Displacement Field of Rock Friction and Sliding, Chinese J. Rock Mech. and Eng., 2018, vol. 37, no. 8, pp. 1777–1784.
22. Xu, H., Ren, H., and Song, Y., Experimental Study on the Characteristics of the Temporal and Spatial Evolution of the Source and the Rupture Mechanism of Red Sandstone under Uniaxial Compression, Experimental Mech., 2022, vol. 37, no. 1, pp. 63–76.
23. Lv, X., Zhu, C., Song, Y., et al., Experimental Study on the Correlation between Coal Rock Stability and Deformation Localization Evolution, Chinese J. Rock Mech. and Eng., 2021, vol. 40, no. 12, pp. 2466–2476.
24. Song, Y., Deng, L., Lv, X., et al., Study of Acoustic Emission Characteristics and Deformation Evolution during Rock Frictional Sliding, Rock Soil Mech., 2019, vol. 40, no. 8, pp. 2899–2906+2913.
25. Song, Y., Jiang, Y., Ma, S., et al., Evolution of Deformation Fields and Energy in Whole Process of Rock Failure, Rock Soil Mech., 2012, vol. 33, no. 5, pp. 1352–1356+1365.
EFFECT OF DIRECTED BLASTING ON GEOTECHNOLOGY AND GEOMECHANICAL BEHAVIOR OF ROCK MASS IN DEEP-LEVEL MINING
S. D. Viktorov*, V. M. Zakalinskii, I. E. Shipovskii, and R. Ya. Mingazov
Academician Melnikov Research Institute of Comprehensive Exploitation of Mineral Resources—IPKON,
Russian Academy of Sciences, Moscow, 111020 Russia
*e-mail: victorov_s@mail.ru
The authors put forward a look-ahead concept of science-based problem solving in deep-level mining. The issues of the problem realization and tooling are also addressed. A borehole charge is designed as a cluster of close-spaced borehole charges to produce the directed blast effect by varying the cluster charge layout in a wide range. Using alternative technical capabilities of drilling, it is possible to variously redisperse the same equivalent energy in the single large-diameter borehole charge and in the cluster of smaller diameter borehole charges. The blast mechanism of the cluster charge pushes the limits of its application range and offers new approaches to problem solving in deep-level mining. Some technological aspects of geotechnologies are presented through the results of modeling the new approach to blast-induced impact using smooth particle hydrodynamics. Some tentative research findings inspire continuing with the study.
Explosion, cluster charge, borehole charge design, mining problems, computer modeling, continuum mechanics, conservation laws, directed blasting
DOI: 10.1134/S1062739124020121
REFERENCES
1. Zakalinskii, V.M., Shipovskii, I.Е., and Mingazov, R.Ya., Drilling and Blasting in Difficult Conditions, Vzryvnoe Delo, 2022, no. 134-91, pp. 44–53.
2. Odintsev, V.N., Zakalinskii, V.M., Lapikov, I.N., and Mingazov, R.Ya., Modeling the Directivity of Blasting Interaction of Close-Spaced Charges, Vzryvnoe Delo, 2022, no. 136-93, pp. 5–24.
3. Malyshev, Yu.N., Trubetskoy, К.N., and Ayruni, А.Т., Fundamental’nye prikladnye metody resheniya problemy metana ugol’nykh plastov (Fundamental Applied Methods for Solving the Problem of Coalbed Methane), Moscow: Izdatel’stvo Akademii Gornykh Nauk, 2000.
4. Zakalinskii, V.M., Mingazov, R.Ya., and Shipovskii, I.Е., Influence of Mining and Engineering Factors on Drilling and Blasting Operations in Deep-Level Mining of Deposits, Problemy Nedropol’zovaniya, 2022, no. 2 (33), pp. 46–54.
5. Zhang, J., Wu, S., Song, Z., et al., Study on the Anti-Scouring and Energy Absorption Characteristics of Coupled Broken Coal Rock Mass and Packed STFs, Int. J. Rock Mech. Rock Eng., 2024. DOI:10.1007/s00603-023-03723-3
6. Wang, B. and Li, H., Contribution of Detonation Gas to Fracturing Reach in Rock Blasting: Insights from the Combined Finite-Discrete Element Method, Computat. Particle Mechan., 2023. DOI:10.1007/s40571-023-00645-3
7. Zhang, L., Qi, Q., Chen, X., Zuo, S., Deng, K., Bi, R., and Chai, J., Impact of Stimulated Fractures on Tree-Type Borehole Methane Drainage from Low-Permeability Coal Reservoirs, Minerals, 2022, vol. 12, no. 8. 940.
8. Han, H., Fukuda, D., Xie, J., Salmi, E.F., Sellers, E., Liu, H., An, H., and Chan, A., Rock Dynamic Fracture by Distress Blasting and Application in Controlling Rockbursts in Deep Underground, Comp. Geotech., 2023, vol. 155. 105228.
9. Kurlenya, М.V. and Serdyukov, S.V., Methane Desorption and Migration in Thermodynamic Inequilibrium Coal Beds, Journal of Mining Science, 2010, vol. 46, no. 1, pp. 50–56.
10. Balashova, Т.А. Study of Dynamic Load Effect on Methane Desorption Intensification and Outburst Hazard of a Seam, Cand. Tech. Sci. Thesis, KuzGTU, Kemerovo, 1998.
11. Zakharov, V.N, Viktorov, S.D, Zakalinskii, V.M., Shipovskii, I.Е., Mingazov, R.Ya., Postavnin, B.N, Dugartsyrenov, A.V, and Eremenko, А.А., RF patent no. 2783817, Byull. Izobret., 2022, no. 32.
12. Young, G.B.C., Computer Modeling and Simulation of Coalbed Methane Resources, Int. J. Coal Geol., 1998, vol. 35, pp. 369–379.
13. Zhu, W.C., Liu, J., Sheng, J.C., and Elsworth, D., Analysis of Coupled Gas Flow and Deformation Process with Desorption and Klinkenberg Effects in Coal Seams, Int. J. Rock Mech. Min. Sci., 2007, vol. 44, no. 7, pp. 971–980.
14. Connell, L.D., Coupled Flow and Geomechanical Processes during Gas Production from Coal Seams, Int. J. Coal Geol., 2009, vol. 79, no. 1–2, pp. 18–28.
15. Noack, K., Control of Gas Emissions in Underground Coal Mines, Int. J. Coal Geol., 1998, vol. 35, pp. 57–82.
16. Shipovskii, I.Е., Calculation of Brittle Rock Failure Using the Drainless Method, Naukovyi Visnik NGU, 2014, no. 1 (145), pp. 76–82.
MULTILEVEL MODEL OF CLEAVAGE FRACTURE IN BRITTLE ROCKS IN COMPRESSION
V. N. Odintsev* and V. V. Makarov**
Academician Melnikov Research Institute of Comprehensive Exploitation of Mineral Resources—IPKON,
Russian Academy of Sciences, Moscow, 111020 Russia
*e-mail: Odin-VN@yandex.ru
Far Eastern Federal University, Ayaks, Russky Island, Vladivostok, 690922 Russia
**e-mail: vlmvv@mail.ru
This study proposes a mathematical fracture model including processes of fracture of structural bonds on micro scale (tens microns) and meso scale (millimeters and centimeters), as well as interaction of structural fragments on macro scale (fractures longer then tens centimeters). The model uses two geometrical criteria of fracture growth, connected with the structure of rocks and governing transition between structural scale. The problem on the stress–strain behavior of an elastic medium near a fracture at the change in the fracture length and in the scale of its influence is solved. The limit equilibrium of a fracture is analyzed. For a meso-scale fracture, such condition is unstable, and the fracture, therefore, develops dynamically and up to a macro scale. Sufficiently long macro fractures can grow in the mode of quasi statics due to independent advance of fracture tips.
Rocks, micro structure, stress–strain behavior, mathematical model, cleavage fracture, crack, stability
DOI: 10.1134/S1062739124020133
REFERENCES
1. Fairhurst, C. and Cook, N.G.W., The Phenomenon of Rock Splitting Parallel to the Direction of Maximum Compression in the Neighborhood of a Surface, Proc. 1st Congress of the International Society of Rock Mechanics, Lisbon, 1966.
2. Horii, H. and Nemat-Nasser, S., Brittle Failure in Compression: Splitting, Faulting and Brittle-Ductile, Transition, Phil. Trans. R. Soc. Lond. Ser. A, Math. Phys. Sci., 1986, vol. 319, pp. 337–374.
3. Germanovich, L.N., Dyskin, А.V., and Tsirulnikov, М.N., On the Mechanism of Dilatancy and Columnar Fracture of Brittle Rocks in Uniaxial Compression, DAN SSSR, 1990, vol. 313, no. 1, pp. 58–63.
4. Odintsev, V.N., Otryvnoe razrushenie massiva skal’nykh gornykh porod (Cleavage Fracture of Hard Rock Mass), Moscow: IPKON RAN, 1996.
5. Hoek, E. and Martin, C.D., Fracture Initiation and Propagation in Intact Rock. A Review, J. Rock Mech. Geotech. Eng., 2014, vol. 6, pp. 287–300.
6. Gol’dshtein, R.V. and Osipenko, N.М., About Fracture in Compression, Fizicheskaya Mezomekhanika, 2018, vol. 21, no. 3, pp. 86–102.
7. Efimov, V.P., Features of Uniaxial Compression Failure of Brittle Rock Samples with Regard to Grain Characteristics, Journal of Mining Science, 2018, vol. 54, no. 2, pp. 194–201.
8. Bobet, A. and Einstein, H.H., Fracture Coalescence in Rock-Type Materials under Uniaxial and Biaxial Compression, Int. J. Rock Mech. Min. Sci., 1998, vol. 35, no. 7, pp. 863–888.
9. Lee, H. and Jeon, S., An Experimental and Numerical Study of Fracture Coalescence in Pre-Cracked Specimens under Uniaxial Compression, Int. J. Solids Struct., 2011, vol. 48, no. 6, pp. 979–999.
10. Zhou, X.P., Bi, J., and Qian, Q.H., Numerical Simulation of Crack Growth and Coalescence in Rock-Like Materials Containing Multiple Pre-Existing Flaws, Int. J. Rock Mech. Rock Eng., 2015, vol. 48, no. 3, pp. 1097–1114.
11. Yang, S.Q., Liu, X.R., and Jing, H.W., Experimental Investigation on Fracture Coalescence Behavior of Red Sandstone Containing Two Unparallel Fissures under Uniaxial Compression, Int. J. Rock Mech. Min Sci., 2013, vol. 63, no. 5, pp. 82–92.
12. Lan, H., Martin, С.D., and Hu, B., Effect of Heterogeneity of Brittle Rock on Micromechanical Extensile Behavior during Compression Loading, J. Geophys. Res., 2010, vol. 115. B01202.
13. Wang, М. and Cai, М., Numerical Modeling of Time-Dependent Spalling of Rock Pillars, Int. J. Rock Mech. Min. Sci., 2021, vol. 141. 104725.
14. Jimenez Pique, E.R.A., Fracture Process Zone of Quasi-Brittle Materials: A Model Material Approach, PhD Thesis 1 (Research TU/e / Graduation TU/e), Chem. Eng. Chemistry, Technische Universiteit Eindhoven, 2002.
15. Nikitin, L.V. and Odintsev, V.N., A Dilatancy Model of Tensile Macrocracks in Compressed Rock, Fatigue and Fracture of Eng. Materials & Structures, 1999, vol. 22, no. 11, pp. 1003–1009.
16. Tarokh, A., Makhnenko, R.Y., Fakhimi, A., and Labuz, J.F., Scaling of the Fracture Process Zone in Rock, Int. J. Fract., 2017, vol. 204, pp. 191–204.
17. Bazant, Z.P. and Kazemi, M.T., Determination of Fracture Energy, Process Zone Length and Brittleness Number from Size Effect, with Application to Rock and Concrete, Int. J. Fracture, 1990, vol. 44, pp. 111–131.
18. Guo, M., Alam, S.Y., Bendimerad, A.Z., Grondin, F., Rozière, E., and Loukili, A., Fracture Process Zone Characteristics and Identification of the Micro-Fracture Phases in Recycled Concrete, Eng. Fracture Mech., 2017, vol. 181, pp. 101–115.
19. Ghamgosar, M. and Erarslan, N., Experimental and Numerical Studies on Development of Fracture Process Zone (FPZ) in Rocks under Cyclic and Static Loadings, J. Rock Mech. Rock Eng., 2016, vol. 49, pp. 893–908.
20. Muralidhara, S., Raghu Prasad, B.K., Eskandari, H., and Karihaloo, B.L., Fracture Process Zone Size and True Fracture Energy of Concrete Using Acoustic Emission, Construction Building Materials, 2010, vol. 24, pp. 479–486.
21. Janssen, C., Wagner, F.C., Zang, A., and Dresen, F., Fracture Process Zone in Granite: A Microstructural Analysis, Int. J. Earth Sci. (Geol. Rundsch.), 2001, vol. 90, pp. 46–59.
22. Golosov, A., Lubimova, O., Zhevora, M., Markevich, V., and Siskov, V., Data Processing Method for Experimental Studies of Deformation in a Rock Sample under Uniaxial Compression, E3S Web of Conf. (EDP Sciences), 2019, vol. 129. 01018.
23. Makarov, V.V., Ksendzenko, L.S., Golosov, A.M., and Opanasiuk, N.A., Mesocracking Structures of the ‘Source Type’ in Highly Stressed Rocks, Proc. Eighth Int. Conf. Deep and High Stress Mining, Perth, Australian Centre for Geomechanics, 2017.
24. Liu, D., Wang, S., and Li, L., Investigation of Fracture Behavior during Rock Mass Failure, Int. J. Rock Mech. Min. Sci., 2000, vol. 37, pp. 489–497.
25. Backers, T., Fracture Toughness Determination and Micromechanics of Rock under Mode I and Mode II Loading, Technical Report STR 05/05, GeoForschungsZentrum, Potsdam, 2004.
26. Dugdale, D., Yielding of Steel Sheets Containing Slits, J. Mechan. Phys. Sol., 1960, vol. 8, no. 2, pp. 100–104.
27. Panasyuk, V.V., Predel’noye ravnovesiye khrupkikh tel s treshchinami (Limit Equilibrium of Brittle Bodies with Cracks), Kiev: Naukova Dumka, 1968.
28. Hansen-Dorr, A.C., Dammaß, F., De Borst, R., and Kastner, M., Phase-Field Modeling of Crack Branching and Deflection in Heterogeneous Media, Eng. Fracture Mech., 2020, vol. 232. 107004.
29. Kuhn, Ch., and Müller, R., Phase Field Modeling of Interface Effects on Cracks in Heterogeneous Materials, PAMM. Proc. Appl. Math. Mech., 2019, vol. 19. e201900378.
30. Menzhulin, М.G., Model of Phase Transitions on Crack Surfaces during Rock Failure, Fizicheskaya Mezomekhanika, 2008, vol. 11, no 4, pp. 75–80.
31. Muskhelishvili, N.I., Nekotorye osnovnye zadachi matematicheskoy teorii uprugosti (Some Basic Problems of the Mathematical Theory of Elasticity), Moscow: Nauka, 1966.
32. Makarov, V.V. and Odintsev, V.N., Structural Hierarchy of Block Geomedium, Fund. Prikl. Vopr. Gornykh Nauk, 2023, vol. 10, no. 2, pp. 47–52.
33. Viktorov, S.D., Kochanov, А.N., Odintsev, V.N., and Osokin, А.А., Emission of Submicron Particles in Rock Deformation, Izv. RAN, Seriya fizicheskaya, 2012, vol. 76, no. 3, p. 388.
34. Viktorov, S.D., Osokin, А.А., and Shlyapin, A.V., Principles of the Method of Submicron Particle Emission Recording for the Accident Prediction in Underground Mineral Mining, Journal of Mining Science, 2017., vol. 53, no. 5, pp. 962–966.
MINERAL MINING TECHNOLOGY
BACKFILL TECHNOLOGIES AND DESIGNS FOR DEEP-LEVEL SYLVINITE MINING
M. V. Ryl’nikova*, R. V. Berger, I. V. Yakovlev, V. I. Tatarnikov, and P. O. Zubkov
Academician Melnikov Research Institute of Comprehensive Exploitation of Mineral Resources—IPKON, Russian Academy of Sciences, Moscow, 111020 Russia
*e-mail: rylnikova@mail.ru
To reduce intensity of deformation in rocks prone to buckling and plastic deformation, and sensitive to geo- and gas-dynamic phenomena, the authors propose a consolidated backfill technology using salt waste and processing reuse brine at the consumption limits of water-yielding capacity. A set of laboratory tests is carried out to find backfill mixtures adaptable to deep-level potash mining with estimation of deformation characteristics and strength properties of potash salt rocks. New principles and technologies of deep-level sylvinite extraction and backfill material transport by creating such geotechnical structures in stopes which ensure formation of consolidated backfill mass with the mined-out stope space factor close to one. This approach can enhance mine efficiency owing to increased extraction of sylvinite from rib and safety pillars.
Potash salt deposit, deep occurrence, extraction completeness, nonlinear deformation, consolidated backfill, backfill mixture, backfill technology, backfill material transport, logistics
DOI: 10.1134/S1062739124020145
REFERENCES
1. Levkevich, R.E. and Senotrusova, S.V., Production of Mineral Fertilizer in Russia: Industrial Trends, Innovats. Investits., 2023, no. 8.
2. Tibilov, D.P. and Domakhina, Yu.A., Development of Potential of Potash Production and Sulfate Fertilizer Manufacture in the Kaliningrad Region, and International Sales of Potassium Sulfate, Ekonom. Prom., 2020, vol. 13, no. 2, pp. 225–232.
3. Antipin, D.A., Problems and Prospects of Potash Fertilizer Market in Russia and Abroad, Skif, 2021, no. 3 (55).
4. Natural Resources Canada: Potash Facts. Available at: https://www.nrcan.gc.ca/our-natural-resources/minerals-mining/minerals-metalsfacts/potash-facts/20521
5. Sfgate: The Advantages of Potassium Fertilizer. Available at: homeguides.sfgate.com/advantages-potassium-fertilizer-75526.html
6. Zayats, E.Yu., Potash Market Development Forecast, Probl. Upravl. (Minsk), 2014, no. 4 (53), pp. 89–94.
7. Nurov, R., Gurbanova, O., Annaev, G., and Nurov, A., Chemistry in Agriculture, Cognitio Rerum, 2024, no. 1, pp. 34–37.
8. Krupnik, L.A., Shaposhnik, Yu.N., Shaposhnik, S.N., and Tursunbaeva, A.K., Backfilling Technology in Kazakhstan Mines, Journal of Mining Science, 2013, vol. 49, no. 1, pp. 87–89.
9. Ryl’nikova, M.V., Yakovlev, I.V., Sakharov, E.M., and Berger, R.V., Justification of Structure and Parameters of Mine Logistics in Deep-Level Potash Mining by Systems with Backfill, Gorn. Prom., 2023, no. 2, pp. 134–139.
10. Radchenko, D.N., Berger, R.V., Tatarnikov, V.I., and Zubkov, P.O., Experimental Research of the Mechanism and Consequence of Salt Rock and Hydraulic Fill Brine Interaction in Underground Potash Mining, Marksheider. Nedropol’z., 2023, no. 6 (128), pp. 60–67.
11. Pinkse, T., Quensel, R., Lack, D., Zimmermann, R., Fliss, T., Scherzberg, H., Marx, H., Niessing, S., Deppe, S., Eichholtz, M., and Waldmann, L., Introducing a New Approach for the Stowage of Waste Brines from Potash Mines of the Werra District in Germany as a Measure to Ensure the Safe and Sustainable Continuation of Potash Extraction and Processing, Conf. Int. Mine Water Association for Mine Water: Technological and Ecological Challenges, Russia, Perm, 2019.
12. Atrushkevich, A.V., Bochkareva, T.N., and Zaburdyaev, V.S., Gornoe delo. Terminologicheskii slovar’ (Mining. Glossary), Moscow: Gornaya kniga, 2016.
13. Kaplunov, D.R. and Radchenko, D.N., Mined-Out Areas: Approaches to Multipurpose Use in Complete Integrated Cycle of Hard Mineral Mining, Gornyi Zhurnal, 2016, no. 5, pp. 28–33.
14. Zakladochnye raboty v shakhtakh (Backfilling in Mines), Moscow: Nedra, 1989.
15. Permyakov, R.S., Spravochnik po razrabotke solyanykh mestorozhdenii (Handbook on Salt Rock Mining), Moscow: Nedra, 1986.
GEOINFORMATION SCIENCE
IN-SITU STRESS PREDICTION MODEL FOR TIGHT SANDSTONE BASED ON XGBOOST ALGORITHM
Du Tong and Li Yuwei*
School of Environment, Liaoning University, Shenyang, 110036 China
*e-mail: liyuweibox@126.com
This article uses XGBoost algorithm to calculate rock in-situ stress. By using Pearson correlation coefficient method, it is determined that the logging parameters with the best correlation with minimum horizontal principal stress are Depth, GR, LLD, ILD, AC, VCA, with maximum horizontal principal stress are: Depth, GR, SP, CAL, DEN. In order to verify the performance of the model, linear regression, support vector machine, and random forest models are used for comparison. In order to improve the generalization performance, the k-fold cross-validation method is used. The results show that using XGBoost algorithm to predict rock in-situ stress with a small amount of data has a high average accuracy of 94% and good generalization performance. The linear regression model has a faster fitting speed, but the fitting accuracy is the lowest. The random forest and support vector machine models are in-between. The result confirms that the research method in this article has certain universality and can be extended to solve other rock in-situ stress prediction problems.
In-situ stress, XGBoost, tight sandstone, machine learning
DOI: 10.1134/S1062739124020157
REFERENCES
1. Bai, X., Zhang, D., Wang, H., Li, S., and Rao, Z., A Novel In-Situ Stress Measurement Method Based on Acoustic Emission Kaiser Effect: A Theoretical and Experimental Study, Royal Soc. Open Sci., 2018, vol. 5, no. 10, pp. 488–504.
2. Ma, N., Study on Method and Application of Geostress Prediction with Seismic Data, China University of Petroleum, East China, 2020.
3. Ito, T., Funato, A., Lin, W., Doan, M., Boutt, D.F., Kano, Y., Ito, H., Saffer, D., McNeill, L.C., Byrne, T., and Moe, K.T., Determination of Stress State in Deep Subsea Formation by Combination of Hydraulic Fracturing In-Situ Test and Core Analysis: A Case Study in the IODP Expedition 319, J. Geoph. Res.: Solid Earth, 2013, vol. 118, no. 3, pp. 1203–1215.
4. Chang, C., Jo, Y., Oh, Y., Lee, T.J., and Kim, K.Y., Hydraulic Fracturing In-Situ Stress Estimations in a Potential Geothermal Site, Seokmo Island, South Korea, J. Rock Mech. Rock Eng., 2014, vol. 47, no. 5, pp. 1793–1808.
5. Qin, X., Chen, Q., Wu, M., Tan, C., Feng, C., and Meng, W., In-Situ Stress Measurements along the Beichuan–Yingxiu Fault after the Wenchuan Earthquake, Eng. Geol., 2015, vol. 194, pp. 114–122.
6. Zhao, X.G., Wang, J., Cai, M., Ma, L.K., Zong, Z.H., Wang, X.Y., Su, R., Chen, W.M., Zhao, H.G., Chen, Q.C., An, Q.M., Qin, X.H., Ou, M.Y., and Zhao, J.S., In-Situ Stress Measurements and Regional Stress Field Assessment of the Beishan Area, China, Eng. Geol., 2013, vol. 163, pp. 26–40.
7. Han, Z., Wang, C., Wang, C., Zou, X., Jiao, Y., and Hu, S., A Proposed Method for Determining In-Situ Stress from Borehole Breakout Based on Borehole Stereo-Pair Imaging Technique, Int. J. Rock Mech. Min. Sci., 2020, vol. 127. 104215.
8. Thorsen, K., In-Situ Stress Estimation Using Borehole Failures—even for Inclined Stress Tensor, J. Petroleum Sci. Eng., 2011, vol. 79, no. 3–4, pp. 86–100.
9. Bai, X., Zhang, D., Wang, H., Li, S., and Rao, Z., A Novel In-Situ Stress Measurement Method Based on Acoustic Emission Kaiser Effect: A Theoretical and Experimental Study, Royal Soc. Open Sci., 2018, vol. 5, no. 10. 181263.
10. Cai, M. and Peng, H., Advance of In-Situ Stress Measurement in China, J. Rock Mech. Geotech. Eng., 2011, vol. 3, no. 4, pp. 373–384.
11. Liu, S. and Harpalani, S., Evaluation of In-Situ Stress Changes with Gas Depletion of Coalbed Methane Reservoirs, J. Geoph. Res., Solid Earth, 2014, vol. 119, no. 8, pp. 6263–6276.
12. Ge, X. and Hou, M., Principle of In-Situ 3D Rock Stress Measurement with Borehole Wall Stress Relief Method and its Preliminary Applications to Determination of In-Situ Rock Stress Orientation and Magnitude in Jinping Hydropower Station, Sci. China Technol. Sci., 2012, vol. 55, no. 4, pp. 939–949.
13. Tao, Q. and Ghassemi, A., Poro-Thermoelastic Borehole Stress Analysis for Determination of the In-Situ Stress and Rock Strength, Geothermics, 2010, vol. 39, no. 3, pp. 250–259.
14. Sokol, Ľ., Melichar, R., and Baroň, I., Present-Day Stress Inversion from a Single Near-Surface Fault: A Novel Mathematical Approach, J. Struct. Geol., 2018, vol. 117, pp. 163–167.
15. Ljunggren, C., Chang, Y., Janson, T., and Christiansson, R., An Overview of Rock Stress Measurement Methods, Int. J. Rock Mech. Min. Sci., 2003, vol. 40, no. 7–8, pp. 975–989.
16. Blanton, T.L., The Relation between Recovery Deformation and In-Situ Stress Magnitudes, SPE, 1983.
17. Ou, Z., Li, Z.J., Yang, J.F., Wang, T., and Zou, M., Application Research on Hoek–Brown Criterion in Initial Ground Stress Field Evaluation, Chinese J. Underground Space Eng., 2017, vol. 13, no. 2, pp. 387–401.
18. Qiu, B., Sengupta, M., and Herwanger, J., Stress Induced Seismic Velocity Anisotropy Study, Soc. Exp. Geoph., 2010.
19. Ju, W., Niu, X.B., Feng, S.B., You, Y., Xu, K., Wang, G., and Xu, H.R., Predicting the Present-Day In-Situ Stress Distribution within the Yanchang Formation Chang 7 Shale Oil Reservoir of Ordos Basin, Central China, Petroleum Sci., 2020, vol. 17, no. 4, pp. 912–924.
20. Pan, L., Liu, H.J., Liu, Y., and Li, Y.J., Application of In-Situ Stress Prediction Technology Based on Seismic Method in Nanchuan District, China Science Paper, 2021, vol. 16, no. 1, pp. 38–43.
21. Huang, J.X., Peng, S.M., Wang, X.J., and Xiao, K., Applications of Imaging Logging Data in the Research of Fracture and Ground Stress, Acta Petrolei Sinica, 2006, vol. 27, no. 6, pp. 65–69.
22. Liu, J.W., Application of Multipole Acoustic Logging Data in Hard Formation of Liaohe Oilfield, Geoscience, 2004, vol. 18, no. 3, pp. 378–382.
23. Fu, H.C., Qin, W.Q., and Zhang, L., Approach to In-Situ Stress of Carbonate Reservoirs in Eastern Lungu of Tarim Basin with Well Logs, Xinjiang Petroleum Geol., 2005, vol. 26, no. 4, pp. 424–425.
24. Lin, Y.S., Ge, H.K., and Wang, S.C., Testing Study on Dynamic and Static Elastic Parameters of Rocks, Chinese J. Rock Mech. Eng., 1998, vol. 17, no. 2, pp. 106–112.
25. Nian, T., Wang, G., Xiao, C., Zhou, L., Sun, Y., and Song, H., Determination of In-Situ Stress Orientation and Subsurface Fracture Analysis from Image-Core Integration: An Example from Ultra-Deep Tight Sandstone (BSJQK Formation) in the Kelasu Belt, Tarim Basin, J. Pet. Sci. Eng., 2016, vol. 147, pp. 495–503.
26. Ju, W. and Wang, K., A Preliminary Study of the Present-Day In-Situ Stress State in the Ahe Tight Gas Reservoir, Dibei Gasfield, Kuqa Depression, Marine Pet. Geol., 2018, vol. 96, pp. 154–165.
27. Ferrero, A.M., Migliazza, M., Segalini, A., and Gullì, D., In-Situ Stress Measurements Interpretations in Large Underground Marble Quarry by 3D Modeling, Int. J. Rock Mech. Min. Sci., 2013, vol. 60, pp. 103–113.
28. Nemcik, J., Gale, W.J., and Fabjanczyk, M.W., Methods of Interpreting Ground Stress Based on Underground Stress Measurements and Numerical Modeling, Coal Operators' Conf., 2006.
29. Wang, X.F., Tang, S.H., Xie, H., Li, Z.C., and Huang, J.H., Numerical Simulation Research on Propagation of Hydraulic Fractures of Coal Reservoir in South Qinshui Basin, Geoscience, 2012, vol. 26, no. 3, pp. 527–532.
30. Zhang, Y.T. and Huang, H.C., Trend Analysis of Residual Stress Distribution in Rock Mass, Shuili Xuebao, 1984, vol. 4, pp. 31–38.
31. Karatela, E. and Taheri, A., Localized Stress Field Modeling around Fractures Using Three-Dimensional Discrete Element Method, J. Pet. Sci. Eng., 2018, vol. 171, pp. 472–483.
32. Feng, P., Li, S., Tang, D.Z., Chen, B., and Zhong, G.H., Application of Support Vector Machine in Prediction of Coal Seam Stress, Geoscience, 2022, vol. 36, no. 5, pp. 1333–1340.
33. Shang, F.H., Wang, W.Q., and Cao, M.J., Shale In-Situ Stress Prediction Model Based on Improved BP Neural Network, Computer Technol. Development, 2021, vol. 31, no. 7, pp. 164–170.
34. Li, Y.W., Shao, L.F., Tian, F.C., and Tang, J.Z., A New Physics-Informed Method for the Fracability Evaluation of Shale Oil Reservoirs, Coal Geol. Exp., 2023, vol. 51, no. 10, pp. 37–51.