A GPU-accelerated finite element solver for simulation of soft-body deformation

Abstract

A nonlinear physical simulation is presented involving the soft body deformation and interaction contacts. We demonstrate the finite element method relying on Lagrangian discretization to simulate the deformation of the soft body with hyperelastic material properties. To perform a stable simulation, we use the constrained Delaunay Tetrahedralization to resampling and remeshing the object. A new contact strategy is developed and used to replace the collision detection. This method does not need to iteratively achieve the optimal contact response on the constrained boundary. It can dynamically determine whether the contact status of the point should be in a static or a sliding friction mode. The explicit method for the finite element model is employed in order to perform all the steps of the algorithm on the GPUs and achieve a real-time simulation.

Exploring Mesh Generation and Quality Enhancement with Open Source Codes

“…These values are important, mainly considering the 3D nontrivial domains, which were chosen to test our proposal. Therefore, unless the parallel computing resources are used (Bracken et al, 2012), neither the topological domain complexity, nor the mesh refinements and time processing performance of the examples discussed in relevant studies (Li et al, 2013;Chen and Biro, 2012;Zhao et al, 2012;Ho et al, 2011;Zhang and Kumar, 2011;Krebs et al, 2010) surpass the equivalent features of the test cases presented in this study, which were explored using one CPU core. Moreover, the approach described is able to provide highly quality meshes with common and very accessible hardware resources.…”

“…All meshes included in this study do not represent the refinement limits, which could be reached, even using one core of the processor. In this context, several methods have been developed to study mesh generation and FEM simulations (Bracken et al, 2012;Li et al, 2013;Chen and Biro, 2012;Zhao et al, 2012;Ho et al, 2011;Zhang and Kumar, 2011;Krebs et al, 2010). However, none of them has used our proposed combination.…”