PMPM research group studies the physics of heterogeneous materials and develops efficient and robust numerical algorithms through integration of Computational Statistics and Data Science to reliably capture hydro-chemo-mechanical behaviour of a wide variety of heterogeneous materials that exhibit significant randomness.
The research goal is to investigate and understand the relationship between pore structure and macro-scale properties. We also develop new purpose-built experimental systems to model and quantify complex (micro- to macro-scale) behaviour of the materials and generate data for verification of the computational algorithms.
Our research is highly multi-disciplinary and motivated by applications in integrity assessment of safety structures (e.g. nuclear energy and waste disposal systems, carbon capture and storage systems, flood embankments), environmental risk analysis (e.g., surface and ground water quality modelling), geotechnics (e.g., injection of Geopolymer resin for ground improvement) and petroleum geomechanics (e.g., shale rock characterisation and hydraulic fracturing modelling). Currently collaborate with mathematicians, environmentalist, hydrologists and geotechnical engineers.
Heterogeneity include a variety of processes in numerical analysis and should be considered as one of the most affecting parameters in mechanics of materials.
Fracture tends to propagate along the least resistance paths, and fracture mechanics is concerned with the study of the propagation of cracks in materials and the subsequent behaviours.
Dispersive Solute Transport in Porous Media
Understanding the effect of flow non-linearity and structural heterogeneity on the solute transport and dispersion at pore-scale is of particular importance in various applications such as environmental remediation and groundwater contamination management.
February 2020 – We had our kick-off meeting to embark on FraCode project which is mainly focused on investigating the controls on fracture propagation in rocks.