Dr Giuliano Pretti giuliano.pretti@durham.ac.uk
Postdoctoral Research Associate
A conservation law consistent updated Lagrangian material point method for dynamic analysis
Pretti, G.; Coombs, W.M.; Augarde, C.E.; Sims, B.; Puigvert, M.M.; Gutierrez, J.A.R.
Authors
Professor William Coombs w.m.coombs@durham.ac.uk
Professor
Professor Charles Augarde charles.augarde@durham.ac.uk
Head Of Department
Bradley Sims bradley.sims@durham.ac.uk
PGR Student Doctor of Philosophy
M.M. Puigvert
J.A.R. Gutierrez
Abstract
The Material Point Method (MPM) is well suited to modelling dynamic solid mechanics problems undergoing large deformations with non-linear, history dependent material behaviour. However, the vast majority of existing material point method implementations do not inherit conservation properties (momenta and energy) from their continuum formulations. This paper provides, for the first time, a dynamic updated Lagrangian material point method for elasto-plastic materials undergoing large deformation that guarantees momenta and energy conservation. Sources of energy dissipation during point-to-grid and grid-to-point mappings for FLuid Implicit Particle (FLIP) and Particle In Cell (PIC) approaches are clarified and a novel time-stepping approach is proposed based on an efficient approximation of the Courant-Friedrich-Lewy (CFL) condition. The formulation provided in this paper provides a platform for understanding the energy conservation nature of future/existing features of material point methods, such as contact approaches.
Citation
Pretti, G., Coombs, W., Augarde, C., Sims, B., Puigvert, M., & Gutierrez, J. (2023). A conservation law consistent updated Lagrangian material point method for dynamic analysis. Journal of Computational Physics, 485, Article 112075. https://doi.org/10.1016/j.jcp.2023.112075
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 15, 2023 |
Online Publication Date | Mar 29, 2023 |
Publication Date | Jul 15, 2023 |
Deposit Date | Mar 16, 2023 |
Publicly Available Date | Mar 30, 2023 |
Journal | Journal of Computational Physics |
Print ISSN | 0021-9991 |
Electronic ISSN | 1090-2716 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 485 |
Article Number | 112075 |
DOI | https://doi.org/10.1016/j.jcp.2023.112075 |
Public URL | https://durham-repository.worktribe.com/output/1176932 |
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Copyright Statement
In Press, Journal Pre-proof 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://
creativecommons.org/licenses/by/4.0/)
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