Our group has the expertise, and in-house codes, on several areas of computational, physical and theoretical modelling of complex processes commonly found in Civil, Environmental and Mining Engineering. We follow a multi-physics, multi-scale approach for most of our research outputs. We aim to combine several physical layers (water physics, porous media physics, solid mechanics, etc) to produce models at the pore/grain scale. The behaviour at this scale is observed, and constitutive relations are derived for larger scales such as a field site. During this process, experiments and field observations are conducted and their data is compared with our modelling efforts for validation.

The multi-scale, multi-physics modelling approach. Our research start with observations at the field scale, followed by experiments and pore/grain-scale simulations which later feeds information for macroscopic models for the field scale. This approach ensures both predictability and scientific understanding.








For micro-scale modelling we use computational tools such as the Discrete Element Method (DEM), Lattice Boltzmann Method (LBM), Discrete Fracture Networks (DFN) and Molecular Dynamics (MD). For upscaling the physics from the pore scale to the macro scale, continuum and statistical mechanics are often used. Finally, for large scale simulations, we have developed methods such as Material Point Method (MPM) and Smoothed Particle Hydrodynamics (SPH).



Latest paper

Hangtong Li, Zhuan Ge, Mohammad Aminpour, Liaoyong Wen, Sergio Andres Galindo-Torres. Pressure-dependent Flow Enhancement in Carbon Nanotubes. Journal of Chemical Physics (2024). link

Zhuan Ge, Teng Man, Herbert E. Huppert, Kimberly M. Hill, and Sergio Andres Galindo-Torres. Unifying length-scale-based rheology of dense suspensions. Physical Review Fluids. (2024). link

S Ren, P Zhang, Y Zhao, X Tian, SA Galindo-Torres. A coupled metaball discrete element material point method for fluid-particle interactions with free surface flows and irregular shape particles. Computer Methods in Applied Mechanics and Engineering (2023). link

Yifeng Zhao, Xiangbo Gao, Pei Zhang, Liang Lei, Stan Z. Li, S.A. Galindo-Torres. Reconstruction and generation of 3D realistic soil particles with metaball descriptor. Computers and Geotechnics (2023). link

Shengjie Hu, Zhenlei Yang, Sergio A. G. Torres, Zipeng Wang, Ling Li. Validity, applicability, and universality of fractal scaling laws for lakes in China. Aquatic Sciences (2023).link

Man, T., Zhang, Z., Huppert, H. E., Galindo-Torres, S. A. Axisymmetric column collapses of bi-frictional granular mixtures. Journal of Fluid Mechanics. (2023). link

Zhuan Ge, Teng Man, SA Galindo-Torres. Mean stress tensor of discrete particle systems in submerged conditions. International Journal of Solids and Structures. (2023). link

Tingchang Yin, Teng Man, Ling Li, SA Galindo-Torres. Finite-size scaling for the permeability of discrete fracture networks. Geophysical Research Letters. (2023). link

Pei Zhang, Ling Qiu, Yilin Chen, Yifeng Zhao, Lingwei Kong, A Scheuermann, Ling Li, SA Galindo-Torres. Coupled Metaball Discrete Element Lattice Boltzmann Method for Fluid-Particle Systems with non-spherical particle shapes: A sharp interface coupling scheme. Journal of Computational Physics (2023). link

Yifeng Zhao, Pei Zhang, Liang Lei, Lingwei Kong, SA Galindo-Torres, Stan Z Li. Metaball-Imaging discrete element lattice Boltzmann method for fluid–particle system of complex morphologies with case studies. Physics of Fluids (2023). link

Songkai Ren, Pei Zhang, Teng Man, SA Galindo-Torres. Numerical assessments of the influences of soil–boulder mixed flow impact on downstream facilities. Computers and Geotechnics (2023). link

Teng Man, Pei Zhang, Zhuan Ge, Sergio A Galindo-Torres, Kimberly M Hill. Friction-dependent rheology of dry granular systems. Acta Mechanica Sinica (2023). link