Research Overview
Our research group focuses on Computational Geomechanics, investigating multiscale mechanical behavior of granular materials. We develop numerical methods including FEM, DEM, MPM, random field theory, and computational fluid dynamics, alongside self-developed NetDEM software, serving marine resource development and multiscale modeling and uncertainty quantification of complex systems.
Research Directions
- Intelligent Characterization and Data-Driven Modeling — Deep learning image reconstruction, virtual particle generation, data-driven constitutive modeling
- Irregular Particle DEM Methods and Intelligent Computing — SDF-based contact theory, full-process digitization, machine learning acceleration
- Multiscale Fluid-Structure Coupling and Multiphase Flow Simulation — Hybrid resolved-unresolved CFD-DEM framework, phase change-fracture coupling, multiphase flow instability
- Random Field Modeling and Geotechnical Reliability — Intelligent investigation optimization, rotated anisotropy, energy evolution failure criterion
Software Platform
Built on the NetDEM core engine, our group develops the Phynexis particle simulation platform — a unified system for discrete elements, CFD–DEM coupling, and solid mechanics, scaling from laptops to HPC clusters with a Python interface for everyday research and engineering workflows.
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