SOIL BEHAVIOR MODELING BY MPS-CAE SIMULATION

Many numerical simulation methods have been developed in the current research field. The authenticity of the simulation-based research depends on the accuracy of the model prepared. The modeling of the soil becomes challenging when there is the presence of water and the soil starts behaving like a fluid. This study focuses on the application of the MPS (moving particle semi-implicit) - CAE (computer-aided engineering) method to design the setup for the unconfined compression test to determine the correct parameters of the soil model. The soil material is assumed to be Bingham fluid and will be employed as a bi-viscosity model, where the soil particle exists at both rigid and fluid states depending upon the condition. The best-fitting soil model was designed for the primary parameters and is compared with the benchmark soil data to justify the claim. Furthermore, the authors endeavored to find the secondary governing factors that will affect the accuracy of the soil modeling. The results show that the values of the primary parameters are influenced by the values of the secondary parameters, resulting in a different model. The influence of the secondary parameters was studied, and the best-fitting soil model was designed by incorporating both primary and secondary parameters.