m (Scipediacontent moved page Draft Content 626091298 to Freddi Mingazzi 2021a) |
|||
Line 1: | Line 1: | ||
− | == | + | == Summary == |
This paper analyses different discretization procedures and compares their numerical performances in the solution of phase field approach to fracture problem. A predictor energetic principle is employed to determine the active regions where damage evolves and, by the usage of a global/local strategy, mesh adaptive refinement or a combination of the two techniques, smaller displacement and damage problems are solved. The computational costs of the simulations are therefore drastically reduced without lowering the accuracy of the results. Initially, the effectiveness and accuracy of the different strategies are analysed and compared. After, the effects of the active zones on the performance and precision of the results is investigated via a parametric analysis. Two different numerical examples are presented in order to validate and show the efficiency of the proposed optimization strategies in lowering the computational costs and CPU times required to perform the numerical simulations. | This paper analyses different discretization procedures and compares their numerical performances in the solution of phase field approach to fracture problem. A predictor energetic principle is employed to determine the active regions where damage evolves and, by the usage of a global/local strategy, mesh adaptive refinement or a combination of the two techniques, smaller displacement and damage problems are solved. The computational costs of the simulations are therefore drastically reduced without lowering the accuracy of the results. Initially, the effectiveness and accuracy of the different strategies are analysed and compared. After, the effects of the active zones on the performance and precision of the results is investigated via a parametric analysis. Two different numerical examples are presented in order to validate and show the efficiency of the proposed optimization strategies in lowering the computational costs and CPU times required to perform the numerical simulations. | ||
− | == | + | == Document == |
<pdf>Media:Draft_Content_626091298A_IDC6_434.pdf</pdf> | <pdf>Media:Draft_Content_626091298A_IDC6_434.pdf</pdf> |
This paper analyses different discretization procedures and compares their numerical performances in the solution of phase field approach to fracture problem. A predictor energetic principle is employed to determine the active regions where damage evolves and, by the usage of a global/local strategy, mesh adaptive refinement or a combination of the two techniques, smaller displacement and damage problems are solved. The computational costs of the simulations are therefore drastically reduced without lowering the accuracy of the results. Initially, the effectiveness and accuracy of the different strategies are analysed and compared. After, the effects of the active zones on the performance and precision of the results is investigated via a parametric analysis. Two different numerical examples are presented in order to validate and show the efficiency of the proposed optimization strategies in lowering the computational costs and CPU times required to perform the numerical simulations.
Published on 26/06/21
Submitted on 26/06/21
Volume MS05 Mesh Adaptation Techniques for Numerical Simulation, 2021
DOI: 10.23967/admos.2021.040
Licence: CC BY-NC-SA license
Are you one of the authors of this document?