Computational Geomechanics / Applied AI
Exploring computational geomechanics, numerical modelling, and AI-enabled engineering workflows. These updates capture in-progress thinking, published work, and prototypes that move research ideas into the field.
A reflection on the rapid evolution of AI tool development—from manual function calling to the Model Context Protocol (MCP) and Agent Skills—and why staying ahead means building for adaptability, not just the latest standard.
Are digital twins genuinely intelligent systems for geohazard management, or are they just glorified 3D models? Exploring the challenges and proposing a hybrid framework.
Introducing GeoSim.AI - a suite of AI assistants for numerical simulations in geomechanics that demonstrates the transformative potential of generative AI in geotechnical engineering.
Physics-informed neural networks (PINNs) for forward and inverse problems in one-dimensional consolidation are presented. The governing partial differential equation is applied as a constraint in the neural network using automatic differentiation. The model performance is demonstrated...
The fundamental concepts and formulations in porous media theory are presented, covering volume fraction concept, conservation laws, thermodynamics, phase transitions, and coupled problem formulations for hydraulic, hydro-mechanical, and thermo-hydro-mechanical processes.
Interested in co-developing tools, validating a concept, or stress-testing a numerical model? I'd love to collaborate on projects that push geotechnical engineering forward.