期刊论文 (*通讯作者课题组成员)

45. Wei, M., & Gao, K.* (2024). Machine Learning Predicts the Slip Duration and Friction Drop of Laboratory Earthquakes in Sheared Granular Fault. Journal of Geophysical Research: Machine Learning and Computation, 1(4), e2024JH000398. doi:10.1029/2024JH000398[PDF]

44. Wang, M., Yang, F., Liao, X., Wang, B., Gao, K., Zhang, L., . . . Wan, Q. (2024). A Novel Approach to Automatically Digitize Analog Seismograms. Seismological Research Letters. doi:10.1785/0220240220[PDF]

43. Li, S.*, Kang, Z., Wang, M., Zhang, X., Zhao, J., Li, X.-b., . . . Gao, K., Feng, X.-T., Zhang, D.* (2024). Geomechanical perspectives and reviews on the development and evolution of cross-scale discontinuities in the Earth's crust: Patterns, mechanisms and models. Gas Science and Engineering, 129, 205412. doi:10.1016/j.jgsce.2024.205412[PDF]

42. Cai, W., Gao, K.*, Qiao, Y., Ai, S.-G., & Feng, Y. (2024). A 2D continuous-discontinuous unified pore-fracture seepage model for hydro-mechanical coupling in the combined finite-discrete element method (FDEM) using node binding scheme. Computers and Geotechnics, 173, 106517. doi:10.1016/j.compgeo.2024.106517[PDF]

41. Wu, S., Gao, K.*, Qian, Y.*, Ge, H., Wang, X., & Li, T. (2024). Application of three-component acoustic emission sensor in rock mechanics experiments. International Journal of Rock Mechanics and Mining Sciences, 178, 105756. doi:10.1016/j.ijrmms.2024.105756[PDF]

40. Gao, G., Wang, C.*, & Gao, K. (2024). Stress tensor determination by modified hydraulic tests on pre-existing fractures: Method and stress constraints. Journal of Rock Mechanics and Geotechnical Engineeringdoi:10.1016/j.jrmge.2023.11.029

39. Huang, W., Gao, K.*, & Feng, Y. (2024). Predicting Stick-Slips in Sheared Granular Fault Using Machine Learning Optimized Dense Fault Dynamics Data. Journal of Marine Science and Engineering, 12(2), 246doi:10.3390/jmse12020246[PDF]

38. Wu, M., Jiang, C.*, Deng, B.*, Gao, K., Li, M., & Liu, B. (2024). Characterization and reconstruction of rough fractures based on vector statistics. Geoenergy Science and Engineering, 234, 212664. doi:10.1016/j.geoen.2024.212664[PDF]

37. Cai, W., Gao, K.*, Ai, S., & Zhi, S. (2023). A 2D energy-conserving contact model for the combined finite-discrete element method (FDEM). Computers and Geotechnics, 166, 105972. doi:10.1016/j.compgeo.2023.105972[PDF]

36. Feng, Y., Gao, K.*, & Lacasse, S. (2023). Bayesian partial pooling to reduce uncertainty in overcoring rock stress estimation. Journal of Rock Mechanics and Geotechnical Engineering. doi:10.1016/j.jrmge.2023.05.003[PDF]

35. Cai, W., Gao, K.*, Ai, S., Wang, M., & Feng, Y. T. (2023). Implementation of extrinsic cohesive zone model (ECZM) in 2D finite-discrete element method (FDEM) using node binding scheme. Computers and Geotechnics, 159, 105470. doi:10.1016/j.compgeo.2023.105470[PDF]

34. Ai, S.-G., & Gao, K.* (2023). Elastoplastic Damage Modeling of Rock Spalling/Failure Induced by a Filled Flaw Using the Material Point Method (MPM). Rock Mechanics and Rock Engineering. doi:10.1007/s00603-023-03265-8[PDF]

33Zhang, Y., Gao, K.*, & Li, C. (2023). Two slip regimes in sheared granular fault. Earth and Planetary Science Letters, 608, 118086. doi:10.1016/j.epsl.2023.118086[PDF]

32Cai, W., Gao, K.*, Wu, S., & Long, W. (2023). Moment Tensor-Based Approach for Acoustic Emission Simulation in Brittle Rocks Using Combined Finite-Discrete Element Method (FDEM). Rock Mechanics and Rock Engineeringdoi:10.1007/s00603-023-03261-y[PDF]

31Mei, J., Ma, G., Tang, L., Gao, K., Cao, W., & Zhou, W. (2023). Spatial clustering of microscopic dynamics governs the slip avalanche of sheared granular materials. International Journal of Plasticitydoi:10.1016/j.ijplas.2023.103570[PDF]

30Feng, Y.*, Mignan, A., Sornette, D., & Gao, K. (2022). Investigating Injection Pressure as a Predictor to Enhance Real‐Time Forecasting of Fluid‐Induced Seismicity: A Bayesian Model Comparison. Seismological Research Lettersdoi:10.1785/0220220309.

29Li, X., Gao, K.*, Feng, Y., & Zhang, C. (2022). 3D geomechanical modeling of the Xianshuihe fault zone, SE Tibetan Plateau: Implications for seismic hazard assessmentTectonophysics, 839, 229546. doi:10.1016/j.tecto.2022.229546[PDF]

28Cao, H., Apatay, E., Crane, G., Wu, B., Gao, K., & Askari, R. (2022). Evaluation of various data acquisition scenarios for the retrieval of seismic body waves from ambient noise seismic interferometry technique via numerical modelingGeosciences, 12(7), 270. doi:10.3390/geosciences12070270[PDF]

27Wu, S.Gao, K.*, Wang, X., Ge, H., Zou, Y., & Zhang, X. (2022). Investigating the Propagation of Multiple Hydraulic Fractures in Shale Oil Rocks Using Acoustic Emission. Rock Mechanics and Rock Engineeringdoi:10.1007/s00603-022-02960-2[PDF]

26Yang, L.Wu, S.Gao, K., & Shen, L.* (2022). Simultaneous propagation of hydraulic fractures from multiple perforation clusters in layered tight reservoirs: Non-planar three-dimensional modelling. Energy, 254, 124483. doi:10.1016/j.energy.2022.124483[PDF]

25Wu, S.Gao, K.*, Feng, Y.*, & Huang, X. (2022). Influence of slip and permeability of bedding interface on hydraulic fracturing: A numerical study using combined finite-discrete element method. Computers and Geotechnics, 148, 104801. doi:10.1016/j.compgeo.2022.104801[PDF]

24Wu, S., Ge, H.*, Li, T., Wang, X., Li, N., Zou, Y., & Gao, K.* (2022). Characteristics of fractures stimulated by supercritical carbon dioxide fracturing in shale based on acoustic emission monitoring. International Journal of Rock Mechanics and Mining Sciences, 152, 105065. doi:10.1016/j.ijrmms.2022.105065[PDF]

23. Ma, G., Mei, J.*, Gao, K., Zhao, J., Zhou, W. & Wang, D. (2022). Machine learning bridges microslips and slip avalanches of sheared granular gougesEarth and Planetary Science Letters579, 117366. doi:10.1016/j.epsl.2022.117366[PDF]

22. Cai, W., Li, Y.*, Gao, K.*, & Wang, K. (2021). Crack propagation mechanism in rock-like specimens containing intermittent flaws under shear loading. Theoretical and Applied Fracture Mechanics, 117, 103187. doi:10.1016/j.tafmec.2021.103187[PDF]

21. Wu, M.Gao, K.*, Liu, J., Song, Z., & Huang, X.* (2021). Influence of rock heterogeneity on hydraulic fracturing: A parametric study using the combined finite-discrete element methodInternational Journal of Solids and Structures, 234-235, 111293. doi:10.1016/j.ijsolstr.2021.111293[PDF]

20. Feng, Y.Gao, K.*, Mignan, A., & Li, J. (2021). Improving local mean stress estimation using Bayesian hierarchical modellingInternational Journal of Rock Mechanics and Mining Sciences, 148, 104924. doi:10.1016/j.ijrmms.2021.104924[PDF]

19. Wang, M., Gao, K., & Feng, Y.T.* (2021). An improved continuum-based finite–discrete element method with intra-element fracturing algorithmComputer Methods in Applied Mechanics and Engineering, 384, 113978doi:10.1016/j.cma.2021.113978[PDF]

18. Ma, G.*, Zou, Y., Gao, K., Zhao, J., & Zhou, W. (2020). Size polydispersity tunes slip avalanches of granular gougeGeophysical Research Letters, 47(23). doi:10.1029/2020GL090458[PDF]

17. Gao, K.*, Guyer, R. A., Rougier, E., & Johnson, P. A. (2020). Plate motion in sheared granular fault systemEarth and Planetary Science Letters548, 116481. doi:10.1016/j.epsl.2020.116481[PDF]

16. Knight, E. E.*, Rougier, E., Lei, Z., Euser, B., Chau, V., Boyce, S. H., Gao, K., Okubo, K., & Froment, M. (2020). HOSS: an implementation of the combined finite-discrete element method. Computational Particle Mechanics. doi:10.1007/s40571-020-00349-y[PDF]

15. Chau, V.*, Rougier, E., Lei, Z., Knight, E.E., Gao, K., Hunter, A., Srinivasan, G., & Viswanathan, H. (2019). Numerical analysis of flyer plate experiments in granite via the combined finite–discrete element method. Computational Particle Mechanics. doi:10.1007/s40571-019-00300-w[PDF]

14. Gao, K., Lei, Q.*, Bozorgzadeh, N, & Chau, V. T. (2019). Can we estimate far-field stress using the mean of local stresses? An examination based on numerical simulations. Computers and Geotechnics116, 103188. doi:10.1016/j.compgeo.2019.103188[PDF]

13. Gao, K.*, Guyer, R. A., Rougier, E., Ren, C. X., & Johnson, P. A. (2019). From stress chains to acoustic emission. Physical Review Letters123(4), 048003. doi:10.1103/PhysRevLett.123.048003[PDF]

12. Gao, K.*, Rougier, E., Guyer, R. A., Lei, Z, & Johnson, P. A. (2019). Simulation of crack induced nonlinear elasticity using the combined finite-discrete element method. Ultrasonics, 98, 51-61. doi:10.1016/j.ultras.2019.06.003[PDF]

11. Gao, K.*, Bozorgzadeh, N., & Harrison, J. P. (2019). The equivalence of three shear‑normal stress forms of the Hoek‑Brown criterion. Rock Mechanics and Rock Engineering, 52, 3501-3507. doi:10.1007/s00603-019-01758-z[PDF]

10. Lei, Q., & Gao, K.* (2019). A numerical study of stress variability in heterogeneous fractured rocks. International Journal of Rock Mechanics and Mining Sciences, 113, 121-133. doi:10.1016/j.ijrmms.2018.12.001[PDF]

9.   Gao, K.*, & Harrison, J. P. (2019). Examination of mean stress calculation approaches in rock mechanics. Rock Mechanics and Rock Engineering52(1),83–95. doi:10.1007/s00603-018-1568-0[PDF]

8.   Gao, K.*, Euser, B. J., Rougier, E., Guyer, R. A., Lei, Z., Knight, E. E., Carmeliet, J., & Johnson, P. A. (2018). Modeling of stick-slip behavior in sheared granular fault gouge using the combined finite‑discrete element method. Journal of Geophysical Research: Solid Earth, 123,5774–5792. doi:10.1029/2018JB015668[PDF]

7.   Gao, K.*, & Harrison, J. P. (2018). Re-examination of the in situ stress measurements on the 240 level of the AECL’s URL using tensor-based approaches. Rock Mechanics and Rock Engineering. 51(10), 3179–3188. doi:10.1007/s00603-018-1530-1[PDF]

6.   Lei, Q.*, & Gao, K.* (2018). Correlation between fracture network properties and stress variability in geological media. Geophysical Research Letters, 45, 3994–4006. doi:10.1002/2018GL077548[PDF]

5.   Gao, K., & Lei, Q.* (2018). Influence of boundary constraints on stress heterogeneity modelling. Computers and Geotechnics, 99, 130-136. doi:10.1016/j.compgeo.2018.03.003[PDF]

4.   Gao, K.*, & Harrison, J. P. (2018). Scalar-valued measures of stress dispersion. International Journal of Rock Mechanics and Mining Sciences106, 234–242. doi:10.1016/j.ijrmms.2018.04.008[PDF]

3.   Gao, K.*, & Harrison, J. P. (2018). Multivariate distribution model for stress variability characterisation. International Journal of Rock Mechanics and Mining Sciences, 102, 144-154. doi:10.1016/j.ijrmms.2018.01.004[PDF]

2.   Gao, K.*, & Harrison, J. P. (2017). Generation of random stress tensors. International Journal of Rock Mechanics and Mining Sciences, 94, 18-26. doi:10.1016/j.ijrmms.2016.12.011[PDF]

1.   Gao, K.*, & Harrison, J. P. (2016). Mean and dispersion of stress tensors using Euclidean and Riemannian approaches. International Journal of Rock Mechanics and Mining Sciences, 85, 165-173. doi:10.1016/j.ijrmms.2016.03.019[PDF]