高科-南方科技大学-地球与空间科学系

高科

副教授

联系电话：0755-88018649

电子邮箱：gaok@sustech.edu.cn

研究方向：岩石力学、断层力学、岩石工程

办公地点：理学院E4131

简历
研究领域
教学
论文专著

2017年博士毕业于加拿大多伦多大学岩石力学专业，2017年至2019年在美国Los Alamos国家实验室固体地球物理方向从事博士后研究，2019年9月加入南方科技大学地球与空间科学系，入选国家海外高层次人才计划青年项目。主要研究领域为岩石力学和断层力学，具体包括基于有限元—离散元方法（Combined finite-discrete element method, FDEM）的多物理场耦合及并行算法开发、基于FDEM的热-流-固（THM）多物理场作用下岩石复杂破裂机理研究及水力压裂、基于张量的岩石应力变异性（stress variability）和异质性（stress heterogeneity）统计方法与岩石应力场模拟反演研究、断层剪切黏滑模拟与试验、基于机器学习的实验室地震预测与断层摩擦机理研究等。目前已以第一作者/通讯作者在Physical Review Letters（编辑推荐文章）、Earth and Planetary Science Letters、Geophysical Research Letters、Journal of Geophysical Research: Solid Earth、International Journal of Rock Mechanics and Mining Science和Rock Mechanics and Rock Engineering等期刊和国际会议发表论文30余篇，主持国家自然科学基金面上项目、科技部重点研发专题、广东省面上、深圳市面上等多个科研项目。

教育与工作经历

2021 – 至今，副教授，南方科技大学，地球与空间科学系

2019 – 2020，助理教授，南方科技大学，地球与空间科学系

2017 – 2019，博士后，美国Los Alamos国家实验室，固体地球物理

2012 – 2017，博士，加拿大多伦多大学，岩石力学与岩石工程

荣誉奖项

2021年，深圳市“孔雀计划”B类人才

2020年，国家海外高层次人才计划（青年）

2016年，第七届国际地应力会议最佳论文奖

学术兼职

美国岩石力学协会（American Rock Mechanics Association）

美国地球物理协会（American Geophysics Union）

国际岩石力学协会（International Society for Rock Mechanics）

美国地震协会（Society of American Seismology）

加拿大岩土工程协会（Canadian Geotechnical Society）

美国土木工程师协会（American Society of Civil Engineer）

岩石力学：

基于有限元和离散元耦合方法（Combined finite-discrete element method, FDEM）的岩石多物理场、多尺度耦合、并行算法开发
基于FDEM的热-流-固（THM）多物理场作用下岩石复杂破裂机理、水力压裂研究
基于张量的岩石应力变异性和异质性统计方法与岩石应力场模拟反演

断层力学：

实验室尺度的断层剪切黏滑试验和数值模拟
基于机器学习的实验室地震预测与断层摩擦机理研究

常年招聘博士后、博士生、硕士研究生及访问学生，热忱欢迎具有断层与地震力学、岩石力学和计算力学等（但不限于）相关背景的同学来信咨询或建立合作，具体请参考我的个人主页。

MAE5009 连续介质力学
ESS312 连续介质力学基础
ESS212 Python编程与实践
CS112 Python编程基础

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 Engineering. doi: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), 246. doi: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]

33. Zhang, 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]

32. Cai, 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 Engineering. doi:10.1007/s00603-023-03261-y. [PDF]

31. Mei, 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 Plasticity. doi:10.1016/j.ijplas.2023.103570. [PDF]

30. Feng, 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 Letters. doi:10.1785/0220220309.

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

28. Cao, 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 modeling. Geosciences, 12(7), 270. doi:10.3390/geosciences12070270. [PDF]

27. Wu, 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 Engineering. doi:10.1007/s00603-022-02960-2. [PDF]

26. Yang, 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]

25. Wu, 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]

24. Wu, 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 gouges. Earth and Planetary Science Letters, 579, 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 method. International 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 modelling. International 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 algorithm. Computer Methods in Applied Mechanics and Engineering, 384, 113978. doi: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 gouge. Geophysical 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 system. Earth and Planetary Science Letters, 548, 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 Geotechnics, 116, 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 Letters, 123(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 Engineering. 52(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 Sciences, 106, 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]

教职员工

高科

副教授

教育与工作经历

荣誉奖项

学术兼职