Research Projects

This project proposes a computationally efficient high fidelity model and finite element formulation for soft shell and tubular structures for anisotropic layered hyperelastic and viscoelastic material for nonlinear deformation analysis. It also proposes the rupture analysis study in soft shell structures via phase-field theory. This project aims to provide a computationally efficient model for nonlinear deformation analysis in biological structures in real-time, using a machine learning approach and advanced parallel computing paradigms such as MPI and CUDA. The project aims to extend the nonlinear viscoelastic material response of soft tissue biological structures, such as arteries, to study various mechanical responses of biological structures in disease treatments at raised temperature conditions. The project will also study the rupture analysis in soft biological structures via the phase-field method of fracture prediction in the higher-order theory of soft-shell structures. The code will be written in Python/C++ using advanced parallel computing paradigms such as MPI and CUDA for faster simulation. This efficient computational tool/software will be a step forward in applying cardiovascular mechanics in medical applications, such as disease diagnostic, prognosis, and treatment planning of cardiovascular disease.