AMPLE: A Material Point Learning Environment. (January 2020)

• Record Type: Journal Article
• Authors: Coombs, William M.; Augarde, Charles E.
• Is Part Of: Advances in engineering software. Volume 139(2020)
• Publication Date: 2020-01
• Subjects: Material point method -- Elasto-plasticity -- Finite deformation mechanics -- MATLAB -- Researcher development; Computer-aided engineering -- Periodicals; Engineering -- Computer programs -- Periodicals; Engineering -- Software -- Periodicals; Periodicals; 620.0028553
• DOI: 10.1016/j.advengsoft.2019.102748
• Languages: English
• ISSNs: 0965-9978

Abstract

Abstract: The Material Point Method (MPM) is a computational tool ideally suited to modelling solid mechanics problems involving large deformations where conventional mesh-based methods struggle. Explicit and implicit formulations are available, but for both the learning curve for understanding the method and arriving at a useful implementation is severe. Researchers must understand and implement finite element analysis, non-linear material behaviour, finite deformation mechanics and non-linear solution methods before they can even verify their formulations. This issue represents a significant barrier for post-doctoral researchers, graduate students and undergraduate students to start working with (and understanding) the method. This paper presents A Material Point Learning Environment (AMPLE) based around implicit variants of the method, with the aim of softening this steep learning curve via MATLAB-based, accessible and compact scripts. The code is freely available from github.com/wmcoombs/AMPLE .