Constitutive behaviour of transitional geo-materials:

• Investigating the mechanical response of soils exhibiting transitional behaviour under varying stress conditions.

• Developing advanced constitutive models incorporating strain softening, anisotropy, and non-linear stiffness degradation.

• Application of hypoplastic and elasto-plastic models to capture the complex behaviour of these materials.

Experimental testing of gas hydrate bearing sediments:

• Investigating the geomechanical and geophysical properties of gas hydrate-bearing sediments under varying pressure and temperature conditions.

• Conducting laboratory experiments to assess strength, stiffness, and permeability changes during hydrate formation and dissociation.

• Developing advanced testing methodologies to simulate in-situ conditions and improve the understanding of gas hydrate stability and potential production strategies.

Numerical modelling of hydrate reservoir

• Development and implementation of a coupled Thermo-Hydro-Mechanical-Chemical (THMC) framework for gas hydrate-bearing sediments.

• Numerical simulations to study hydrate dissociation, gas production efficiency, and reservoir deformation.

• Evaluating the impact of wellbore placement and hydrate morphology on production efficiency and geomechanical stability.

Application of ML in geotechnical engineering

• Utilizing machine learning (ML) and optimization techniques for predictive modeling in geotechnics.

• Feature selection and Bayesian optimization to improve prediction accuracy of geomechanical parameters.

• Prediction of Tunnel Boring Machine (TBM) penetration rate using ML models trained on Mumbai Metro field data.

Numerical modelling of geosynthetic reinforced soil wall

• Investigating the seismic performance of geosynthetic-reinforced soil walls under dynamic loading.

• Implementing advanced numerical techniques for stability analysis.

• Evaluating the influence of foundation soil conditions on deformation and failure mechanisms.