MS102 - Multiphase processes in porous media
Keywords: Machine Learning in Porous Media, Multiphase Processes, Thermo-Hydro-Mechanical-Chemical Coupling, Hydraulic Fracturing, porous media
In recent years, significant progress has been made in describing coupled thermo-hydro-mechanical and chemical processes in porous media. These include innovative modelling, numerical and experimental approaches at different scales and for various engineering applications.
For this session, we particularly invite contributions on the following topics:
• Phase-field porous media fracture under isothermal/non-isothermal conditions.
• Recent techniques applied to study porous media coupled behaviors, such as physics-guided neural networks, convolutional neural networks for predictions, AI image processing of micro-CT and SEM images, inverse design of porous metamaterials, microstructure realization, and reduced-order modeling.
• Phase-change processes in porous media, including numerical and experimental approaches related to freezing and thawing in porous materials.
• Multi-physics electro-chemical-hydro-mechanical processes.
• Additional topics related to solid-phase transitions, microstructure evolution, multi-scale modeling of porous media, and others will also be considered.
