I am working on my PhD thesis, collecting important experimental and numerical data on model parameters, selecting proper model scale observation-REV and selecting the appropriate physical laws for the model. In addition, identification of parameters that help in selecting the most effective model parameters and their effect on sensitivity of the model, mathematical evaluation of the experiment parameters, calibration, validation and checking sensitivity analysis are under progress.
The aim of my thesis is to gain a thorough understanding of the complex interactions between hydroclimatic conditions and dynamic loadings on the behavior of subgrade soil. By utilizing multiphysics modeling techniques, the research aims to on coupled soil behavior and its responses. This involves integrating mechanical models (such as FEM and DEM) with artificial intelligence to effectively capture how combined multiphysical effects on the soil responses. Therefore, I am doing on the above-mentioned topics to further development of the thesis proposal.