Improved robustness for nearly-incompressible large deformation meshfree simulations on Delaunay tessellations
Autor: | Michael A. Puso, N. Sukumar, Alejandro Ortiz-Bernardin |
---|---|
Rok vydání: | 2015 |
Předmět: |
Diffuse element method
Delaunay triangulation Mechanical Engineering Mathematical analysis Computational Mechanics General Physics and Astronomy Basis function Isogeometric analysis Computer Science::Computational Geometry Topology Computer Science Applications Mechanics of Materials Displacement field Meshfree methods Galerkin method Weakened weak form Mathematics |
Zdroj: | Computer Methods in Applied Mechanics and Engineering. 293:348-374 |
ISSN: | 0045-7825 |
DOI: | 10.1016/j.cma.2015.05.009 |
Popis: | A displacement-based Galerkin meshfree method for large deformation analysis of nearly-incompressible elastic solids is presented. Nodal discretization of the domain is defined by a Delaunay tessellation (three-node triangles and four-node tetrahedra), which is used to form the meshfree basis functions and to numerically integrate the weak form integrals. In the proposed approach for nearly-incompressible solids, a volume-averaged nodal projection operator is constructed to average the dilatational constraint at a node from the displacement field of surrounding nodes. The nodal dilatational constraint is then projected onto the linear approximation space. The displacement field is constructed on the linear space and enriched with bubble-like meshfree basis functions for stability. The new procedure leads to a displacement-based formulation that is similar to F -bar methodologies in finite elements and isogeometric analysis. We adopt maximum-entropy meshfree basis functions, and the performance of the meshfree method is demonstrated on benchmark problems using structured and unstructured background meshes in two and three dimensions. The nonlinear simulations reveal that the proposed methodology provides improved robustness for nearly-incompressible large deformation analysis on Delaunay meshes. |
Databáze: | OpenAIRE |
Externí odkaz: |