Rapid particle generation from an STL file and related issues in the application of material point methods to complex objects

In this paper, we focus on three issues related to applications of material point methods (MPMs) to objects with complex geometries. They are material point generation, compatibility of material points with a mesh, and sensitivity to mesh orientation. An efficient method of generating material point...

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Bibliographic Details
Published in:	Computational particle mechanics Vol. 11; no. 5; pp. 2291 - 2305
Main Authors:	Zhang, Duan Z., Perez, Kyle A., Barclay, Paul L., Waters, Jiajia
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.10.2024 Springer Nature
Subjects:	Classical and Continuum Physics complex geometry Computational Science and Engineering dual domain material point method Engineering local stress difference (LSD) algorithm MATERIALS SCIENCE Theoretical and Applied Mechanics Dual domain material point method Local stress difference (LSD) algorithm Complex geometry
ISSN:	2196-4378, 2196-4386
Online Access:	Get full text
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Summary:	In this paper, we focus on three issues related to applications of material point methods (MPMs) to objects with complex geometries. They are material point generation, compatibility of material points with a mesh, and sensitivity to mesh orientation. An efficient method of generating material points from a stereolithography (STL) file is introduced. This material point generation method is independent of the mesh used in MPM calculations. The compatibility between the material points and the mesh is then studied. We also show that the original MPM and the dual domain material point (DDMP) method are sensitive to mesh orientation. These issues are related to the calculation of the internal force and are concerns of the MPMs. They become more prominent when MPMs are applied to complex geometries. Our numerical results show that the recently developed local stress difference (LSD) algorithm (Perez et al. in J Comp Phys 498:112681, 2024) can be used to effectively address them.
Bibliography:	LA-UR-24-26163 89233218CNA000001 USDOE Laboratory Directed Research and Development (LDRD) Program USDOE National Nuclear Security Administration (NNSA)
ISSN:	2196-4378 2196-4386
DOI:	10.1007/s40571-024-00813-z