DOI QR코드

DOI QR Code

Case study of the mining-induced stress and fracture network evolution in longwall top coal caving

  • Li, Cong (State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University) ;
  • Xie, Jing (State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University) ;
  • He, Zhiqiang (State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University) ;
  • Deng, Guangdi (State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University) ;
  • Yang, Bengao (State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University) ;
  • Yang, Mingqing (State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University)
  • Received : 2020.04.09
  • Accepted : 2020.06.08
  • Published : 2020.07.25

Abstract

The evolution of the mining-induced fracture network formed during longwall top coal caving (LTCC) has a great influence on the gas drainage, roof control, top coal recovery ratio and engineering safety of aquifers. To reveal the evolution of the mining-induced stress and fracture network formed during LTCC, the fracture network in front of the working face was observed by borehole video experiments. A discrete element model was established by the universal discrete element code (UDEC) to explore the local stress distribution. The regression relationship between the fractal dimension of the fracture network and mining stress was established. The results revealed the following: (1) The mining disturbance had the most severe impact on the borehole depth range between approximately 10 m and 25 m. (2) The distribution of fractures was related to the lithology and its integrity. The coal seam was mainly microfractures, which formed a complex fracture network. The hard rock stratum was mainly included longitudinal cracks and separated fissures. (3) Through a numerical simulation, the stress distribution in front of the mining face and the development of the fracturing of the overlying rock were obtained. There was a quadratic relationship between the fractal dimension of the fractures and the mining stress. The results obtained herein will provide a reference for engineering projects under similar geological conditions.

Keywords

Acknowledgement

This study was financially supported by the China Postdoctoral Science Foundation (Grant No. 2019M653403).

References

  1. Alehossein, H. and Poulsen B.A. (2010), "Stress analysis of longwall top coal caving", Int. J. Rock Mech. Min. Sci., 47(1), 30-41. http://doi.org/10.1016/j.ijrmms.2009.07.004.
  2. Ashtari, M., Mousavi, S.E., Cheshomi, A. and Khamechian, M. (2019), "Evaluation of the single compressive strength test in estimating uniaxial compressive and Brazilian tensile strengths and elastic modulus of marlstone", Eng. Geol., 248, 256-266. https://doi.org/10.1016/j.enggeo.2018.12.005.
  3. Berkowitz, B. (2002), "Characterizing flow and transport in fractured geological media: A review", Adv. Water Resour., 25(8), 861-884. http://doi.org/10.1016/S0309-1708(02)00042-8.
  4. Beskardes, G.D. and Weiss, C. (2018), "Modelling dc responses of 3-D complex fracture networks", Geophys. J. Int., 214, 1901-1912. http://doi.org/10.1093/gji/ggy234.
  5. Daniel, B. and Robert, J. (2019), "Experimental study on models of cylindrical steel tanks under mining tremors and moderate earthquakes", Earthq. Struct., 17(2), 175-189. https://doi.org/10.12989/eas.2019.17.2.175.
  6. Daniel, B., Michal, W. and Robert, J. (2020), "Numerical investigation on behaviour of cylindrical steel tanks during mining tremors and moderate earthquakes", Earthq. Struct., 18(1), 97-111. https://doi.org/10.12989/eas.2020.18.1.097.
  7. Gao, M.Z., Jin, W.C., Dai, Z.X. and Xie, J. (2013), "Relevance between abutment pressure and fractal dimension of crack network induced by mining", Int. J. Min. Sci. Technol., 23(6), 925-930. http://doi.org/10.1016/j.ijmst.2013.11.008.
  8. Gao, M.Z., Zhang, R., Xie, J., Peng, G.Y., Yu, B. and Ranjith, P.G. (2018), "Field experiments on fracture evolution and correlations between connectivity and abutment pressure under top coal caving conditions", Int. J. Rock Mech. Min. Sci., 111, 84-93. http://doi.org/10.1016/j.ijrmms.2018.01.003.
  9. Jafari, A. and Babadagli, T. (2012), "Estimation of equivalent fracture network permeability using fractal and statistical network properties", J. Petrol. Sci. Eng., 92-93, 110-123. http://doi.org/10.1016/j.petrol.2012.06.007.
  10. Krishanu, R., Hieng, H.L. and James, B.P.L. (2019), "Finite element modelling of back-to-back built-up cold-formed stainless-steel lipped channels under axial compression", Steel Compos. Struct., 33(1), 37-66. https://doi.org/10.12989/scs.2019.33.1.037.
  11. Lata, P. and Himanshi, Z. (2019), "Fractional order generalized thermoelastic study in orthotropic medium of type GN-III", Geomech. Eng., 19(4), 295-305. http://doi.org/10.12989/gae.2019.19.4.295.
  12. Lee, C., Nam, H., Lee, W., Choo, H. and Ku, T. (2019), "Estimating UCS of cement-grouted sand using characteristics of sand and UCS of pure grout", Geomech. Eng., 19(4), 343-352. http://doi.org/10.12989/gae.2019.19.4.343.
  13. Li, S., Gao, M., Yang, X., Zhang, R., Ren, L., Zhang, Z., Li, G., Zhang, Z. and Xie, J. (2018), "Numerical simulation of spatial distributions of mining-induced stress and fracture fields for three coal mining layouts", J. Rock Mech. Geotech. Eng., 10(5). http://doi.org/10.1016/j.jrmge.2018.02.008.
  14. Mohammadi, H. and Pietruszczak, S. (2019), "Description of damage process in fractured rocks", Int. J. Rock Mech. Min. Sci., 113, 295-302. http://doi.org/10.1016/j.ijrmms.2018.12.003.
  15. Qiu, Z.Q., Gao, M.Z., Lv, Y.C., Wang, M., Xie, J., Xu, X.L. and Zhang, Z.P. (2016), "New calculation method for drilling three-dimensional connectivity rate and its engineering application", Safety Coal Mines, 47(10), 44-47. http://doi.org/10.3321/j.issn:1000-6915.2005.15.003.
  16. Shi, L.Q., Xu, D.L., Wang, Y., Qiu, M. and Hao, J. (2019), "A novel conceptual model of fracture evolution patterns in the overlying strata during horizontal coal seam mining", Arab. J. Geosci., 12(10), 1-9. http://doi.org/10.1007/s12517-019-4486-x.
  17. Singh, G.S.P. and Singh, U.K. (2009), "A numerical modeling approach for assessment of progressive caving of strata and performance of hydraulic powered support in longwall workings", Comput. Geotech., 36(7), 1142-1156. http://doi.org/10.1016/j.compgeo.2009.05.001.
  18. Smyth, M. and Buckley, M.J. (1993), "Statistical analysis of the microlithotype sequences in the Bulli Seam, Australia, and relevance to permeability for coal gas", Int. J. Coal Geol., 22(3-4), 167-187. http://doi.org/10.1016/0166-5162(93)90025-6.
  19. Unver, B. and Yasitli, N.E. (2006), "Modelling of strata movement with a special reference to caving mechanism in thick seam coal mining", Int. J. Coal Geol., 66(4), 227-252. http://doi.org/10.1016/j.coal.2005.05.008.
  20. Usanov, S.V., Mel'Nik, V.V. and Zamyatin, A.L. (2013), "Monitoring rock mass transformation under induced movements", J. Min. Sci., 49(6), 913-918. http://doi.org/10.1134/S1062739149060105.
  21. Wang, C., Zhang, N.C., Han, Y.F., Xiong, Z.Q. and Qian, D.Y. (2013), "Experiment research on overburden mining-induced fracture evolution and its fractal characteristics in ascending mining", Arab. J. Geosci., 8(1), 13-21. http://doi.org/10.1007/s12517-013-1178-9.
  22. Yasitli, N.E. and Unver, B. (2005), "3D numerical modeling of longwall mining with top-coal caving", Int. J. Rock Mech. Min. Sci., 42(2), 219-235. http://doi.org/10.1016/j.ijrmms.2004.08.007.
  23. Yu, B., Zhang, R., Gao, M.Z., Li, G., Zhang, Z.T. and Liu, Q.Y. (2015), "Numerical approach to the top coal caving process under different coal seam thicknesses", Therm. Sci., 19(4), 1423-1428. http://doi.org/10.2298/TSCI1504423Y.
  24. Zhang, R., Ai T., Zhou, H.W., Ju, Y. and Zhang, Z.T. (2015), "Fractal and volume characteristics of 3D mining-induced fractures under typical mining layouts", Environ. Earth Sci., 73(10), 6069-6080. http://doi.org/10.1007/s12665-015-4376-9.