Prof. Xuhai Tang

Speaker: Prof. Xuhai Tang, currently at Wuhan University, earned his PhD from Imperial College London and conducted postdoctoral research at Princeton University. He serves as an editorial board member for the "International Journal of Rock Mechanics and Mining Sciences". His research group specializes in experimental investigations of the mechanical and chemical properties of minerals. By integrating experimental results, advanced numerical modeling and machine learning techniques, they developed a computational framework to explore the macroscale properties of fractured geomaterials. Their research significantly contributes to enhancing petroleum production efficiency and advancing technologies for space exploration.

Mechanical property of minerals and their impact on earth/planetary geological material

We develop an advanced system to investigate the mechanical property of minerals and their impact on earth/planetary geological materials, which combines microscale rock mechanics experiment (micro-RME) and accurate grain-based model (AGBM). The micro-RME is developed to test the physics property evolution of rock-forming minerals under hydraulic-mechanical-thermal-chemical coupling process. The AGBM is developed to solve the macroscale mechanics property of geological materials numerically, based on Micro-RME result.

This system is especially useful to test non-standard rock/soil samples, such as filling in fractures, arbitrarily-shaped cuttings, meteorite and samples of Mars/lunar rock. Additionally, this system advances our fundamental understanding the mechanical property of geological material at mineral scale.

●   J.M. Qiao,M.M. Nie, Q. Zhao, Q.S. Liu, X.H. Tang, 2023. The Effect of Weathering on the Mineral Grains and Macroscale Young’s Modulus of Granites, Rock Mechanics and Rock Engineering. https://doi.org/10.1007/s00603-023-03670-z

●   X.H. Tang, J.J. Xu, Y.H. Zhang*, H.F. Zhao, A. Paluszny, X. Wan, Z.Z. Wang, 2023. The rock-forming minerals and macroscale mechanical properties of asteroid rocks, Engineering Geology. https://doi.org/10.1016/j.enggeo.2023.107154

●   X.H. Tang, Y.H. Zhang, J.J. Xu*, J. Rutqvist, M.S. Hu, Z.Z. Wang, Q.S. Liu, 2022,Determining Young's modulus of granite using accurate grain-based modeling with microscale rock mechanical experiments, International Journal of Rock Mechanics and Mining Sciences, 157. https://doi.org/10.1016/j.ijrmms.2022.105167

●   J.J. Xu, X.H. Tang*,Z.Z. Wang,Y.F. Feng*, K. Bian, 2020. Investigating the softening of weak interlayers during landslides using nanoindentation experiments and simulations, Engineering Geology, 277, 105801.https://doi.org/10.1016/j.enggeo.2020.105801

●   J.J. Xu, Y.H. Zhang, J. Rutqvist, M.S. Hu, Z.Z. Wang, X.H. Tang*, 2023. Thermally Induced Microcracks in Granite and Their Effect on the Macroscale Mechanical Behavior, Journal of Geophysical Research: Solid Earth, 128(1), https://doi.org/10.1029/2022JB024920   

●   唐旭海,许婧璟,张怡恒,何琦,王正直,张国平,刘泉声.基于微观岩石力学试验和NWA13618陨石的小行星岩石力学参数分析[J].岩土力学,2021,43(05):1157-1163.DOI:10.16285/j.rsm.2021.1342.

AiFrac – the digital twin for modelling the deformation and fracturing of reservoirs

The Aifrac simulator is developed to create the digital twin of reservoirs with mechanical deformation and fracturing. In this AiFrac simulator, advanced numerical algorithms, such as extended finite element method and phase field method, are developed to model the deformation and fracturing of geomaterials induced by Hydraulic-Mechanical-Thermal-Chemical coupling process. Additionally, the combination of physical simulation and machine learning is developed to analysis the geostress redistributioin and hydraulic fracturing, according to monitoring data. This achievement contributes to smarter energy oil/gas production, geothermal production and space exploitation.

●    X.H. Tang, D. Wu, J.M. Qiao*, F. Gao, M.Z. Zhang, 2023. Combining machine learning and physics modelling to determine the natural cave property with fracturing curves, Computers and Geotechnics, 158, https://doi.org/10.1016/j.compgeo.2023.105339

●   J.M. Qiao,X.H. Tang*, M.S. Hu, J. Rutqvist, Z.Y. Liu, 2022, The hydraulic fracturing with multiple influencing factors in carbonate fracture-cavity reservoirs, Computers and Geotechnics, 147, https://doi.org/10.1016/j.compgeo.2022.104773

●    X.H. Tang, S.J. Tao*, P. L, J. Rutqvist, M.S. Hu, L. Sun, 2022. The propagation and interaction of cracks under freeze-thaw cycling in rock-like material, International Journal of Rock Mechanics and Mining Sciences, 154, 105112, https://doi.org/10.1016/j.ijrmms.2022.105112

●    S.J. Tao, X.H. Tang*, J. Rutqvist, Q.S. Liu, M.S. Hu, The influence of stress anisotropy and stress shadow on frost cracking in rock,Computers and Geotechnics, 2021, 133, https://doi.org/10.1016/j.compgeo.2020.103967.

●    S.J. Tao, X.H. Tang*, J. Rutqvist,   M.S. Hu, Q.S. Liu, 2020. Simulating three dimensional thermal cracking with TOUGH-FEMM, Computers and Geotechnics,124, 103654.https://doi.org/10.1016/j.compgeo.2020.103654

●   Z.L. Shao, Y. Wang, X.H. Tang*, 2020. The influences of heating and uniaxial loading on granite subjected to liquid nitrogen cooling, Engineering Geology, 271, 105614.https://doi.org/10.1016/j.enggeo.2020.105614

●    X.H. Tang*, J. Rutqvist, M.S. Hu, N.M. Rayudu, 2019. Modeling three-dimensional fluid-driven propagation of multiple fractures using TOUGH-FEMM, Rock Mechanics and Rock Engineering, 52(2), 611-627.https://doi.org/10.1007/s00603-018-1715-7

●    Q.S. Liu, L. Sun, X.H. Tang*, B. Guo, 2019, Modelling Hydraulic Fracturing with a Point-Based Approximation for the Maximum Principal Stress Criterion, Rock Mechanics and Rock Engineering, 52(6), 1781-1801. DOI:10.1007/s00603-018-1648-1

●    Q.S. Liu, L. Sun, X.H. Tang*, L. Chen,2018. Simulate intersecting 3D hydraulic cracks using a hybrid “FE-Meshfree” method, Engineering Analysis with Boundary Elements, 91, 24-43. https://doi.org/10.1016/j.enganabound.2018.03.005

●    Y.T. Yang, X.H. Tang*, H. Zheng, Q.S. Liu, Z.J. Liu, 2018, Hydraulic fracturing modelling using the enriched numerical manifold method, Applied Mathematical Modelling,53, 462-486. https://doi.org/10.1016/j.apm.2017.09.024

●    Y.T. Yang, L. Chen, X.H. Tang*, H. Zheng, Q.S. Liu, 2017, A partition-of-unity based ‘FE-Meshfree’ hexahedral element with continuous nodal stress, Computers & Structures, 178 :17-28. https://doi.org/10.1016/j.compstruc.2016.10.012

●    Y.T. Yang, X.H. Tang, H. Zheng, Q.S. Liu, L. He, 2016,Three-dimensional fracture propagation with numerical manifold method, Engineering Analysis with Boundary Elements, 72, 65-77. https://doi.org/10.1016/j.enganabound.2016.08.008

●    Y.T. Yang, X.H. Tang*, H. Zheng, 2015. Construct 'FE-Meshfree' Quad4 using mean value coordinates. Engineering analysis with boundary elements, 59, 78-88. https://doi.org/10.1016/j.enganabound.2015.04.011

●    Y.T. Yang, X.H. Tang*, H. Zheng, 2014. A three-node triangular element with continuous nodal stress, Computers & Structures, 141, 46-58. https://doi.org/10.1016/j.compstruc.2014.05.001

X.H. Tang, A. Paluszny*, RW. Zimmerman, 2014. An impulse-based energy tracking method for collision resolution, Computer Methods in Applied Mechanics and Engineering, 278 (15), 160-185. https://doi.org/10.1016/j.cma.2014.05.004

X.H. Tang, A. Paluszny*, RW. Zimmerman, 2013. Energy conservative property of impulse-based methods for collision resolution. International Journal for Numerical Methods in Engineering, 95(6): 529-540. https://doi.org/10.1002/nme.4537