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Integrating Peridynamics with Material Point Method for Elastoplastic Material Modeling.

Lyu, Y., Zhang, J., Chang, J., Guo, S. and Zhang, J. J., 2019. Integrating Peridynamics with Material Point Method for Elastoplastic Material Modeling. In: Computer Graphics International Conference CGI 2019: Advances in Computer Graphics, 17-20 June 2019, Calgary, Canada, 228 - 239.

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

Abstract

© 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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:This work is supported by National Natural Science Foundation of China (61702433, 61661146002), the Fundamental Research Funds for the Central Universities, the China Scholarship Council and Bournemouth University.
Uncontrolled Keywords:Material Point Method; Peridynamics; Elastoplastic modeling
Group:Faculty of Media & Communication
ID Code:32477
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:02 Jul 2019 10:11
Last Modified:02 Jul 2019 10:11

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