English

A time multiscale decomposition in cyclic elasto-plasticity

Computational Engineering, Finance, and Science 2023-04-24 v1 Applied Physics

Abstract

For the numerical simulation of time-dependent problems, recent works suggest the use of a time marching scheme based on a tensorial decomposition of the time axis. This time-separated representation is straightforwardly introduced in the framework of the Proper Generalized Decomposition (PGD). The time coordinate is transformed into a multi-dimensional time through new separated coordinates, the micro and the macro times. From a physical viewpoint, the time evolution of all the quantities involved in the problem can be followed along two time scales, the fast one (micro-scale) and the slow one (macro-scale). In this paper, the method is applied to compute the quasi-static response of an elasto-plastic structure under cyclic loadings. The study shows the existence of a physically consistent temporal decomposition in computational cyclic plasticity. Such micro-macro characterization may be particularly appealing in high-cycle loading analyses, such as aging and fatigue, addressed in a future work in progress.

Keywords

Cite

@article{arxiv.2304.11026,
  title  = {A time multiscale decomposition in cyclic elasto-plasticity},
  author = {Angelo Pasquale and Sebastian Rodriguez and Khanh Nguyen and Amine Ammar and Francisco Chinesta},
  journal= {arXiv preprint arXiv:2304.11026},
  year   = {2023}
}
R2 v1 2026-06-28T10:13:49.749Z