Integrating Peridynamics with Material Point Method for Elastoplastic Material Modeling

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Authors: Lyu, Y., Zhang, J., Chang, J., Guo, S. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/32477/

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume: 11542 LNCS

Pages: 228-239

eISSN: 1611-3349

ISBN: 9783030225131

ISSN: 0302-9743

DOI: 10.1007/978-3-030-22514-8_19

© Springer Nature Switzerland AG 2019. We present a novel integral-based Material Point Method (MPM) using state based peridynamics structure for modeling elastoplastic material and fracture animation. Previous partial derivative based MPM studies face challenges of underlying instability issues of particle distribution and the complexity of modeling discontinuities. To alleviate these problems, we integrate the strain metric in the basic elastic constitutive model by using material point truss structure, which outweighs differential-based methods in both accuracy and stability. To model plasticity, we incorporate our constitutive model with deviatoric flow theory and a simple yield function. It is straightforward to handle the problem of cracking in our hybrid framework. Our method adopts two time integration ways to update crack interface and fracture inner parts, which overcome the unnecessary grid duplication. Our work can create a wide range of material phenomenon including elasticity, plasticity, and fracture. Our framework provides an attractive method for producing elastoplastic materials and fracture with visual realism and high stability.

This data was imported from Web of Science (Lite):

Authors: Lyu, Y., Zhang, J., Chang, J., Guo, S. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/32477/

Journal: ADVANCES IN COMPUTER GRAPHICS, CGI 2019

Volume: 11542

Pages: 228-239

eISSN: 1611-3349

ISBN: 978-3-030-22513-1

ISSN: 0302-9743

DOI: 10.1007/978-3-030-22514-8_19

The data on this page was last updated at 05:24 on October 27, 2020.