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 all 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 pore/grain-scale modelling we use computational tools such as the Discrete Element Method (DEM) and the Lattice Boltzmann Method (LBM). 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

Pei Zhang, Siqi Sun, S. A. Galindo-Torres, Weicheng Cui. Coupled material point Lattice Boltzmann method for modeling fluid–structure interactions with large deformations. Computer Methods in Applied Mechanics and Engineering (2021). link

Teng Man, Herbert E. Huppert, Ling Li, S. A. Galindo-Torres. Deposition morphology of granular column collapses. Granular Matter (2021). link

Mohammad Aminpour, S. A. Galindo Torres, Alexander Scheuermann, Ling Li. Slip-Flow Regimes in Nanofluidics: A Universal Superexponential Model. Physical Review Applied (2021). link

P Zhang, Y Dong, S. A. Galindo-Torres, A Scheuermann, L Li. Metaball based discrete element method for general shaped particles with round features. Computational Mechanics (2021). link