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ARTICLE

Peridynamic Modeling and Simulation of Ice Craters By Impact

by Ying Song, Jiale Yan, Shaofan Li, Zhuang Kang

1 College of Shipbuilding Engineering, Harbin Engineering University, Harbin, 150001, China.
2 Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA

* Corresponding Author: Shaofan Li. Email: email.

(This article belongs to the Special Issue: Recent Developments on Peridynamics)

Computer Modeling in Engineering & Sciences 2019, 121(2), 465-492. https://doi.org/10.32604/cmes.2019.07190

Abstract

In the present work, a state-based peridynamics with adaptive particle refinement is proposed to simulate water ice crater formation due to impact loads. A modified Drucker-Prager constitutive model was adopted to model ice and was implemented in the state-based peridynamic equations to analyze the elastic-plastic deformation of ice. In simulations, we use the fracture toughness failure criterion in peridynamics to simulate the quasi-brittle failure of ice. An adaptive particle refinement method in peridynamics was proposed to improve computational efficiency. The results obtained using the peridynamic model were compared with the experiments in previous literatures. It was found that the peridynamic simulation results and the experiments matched well except for some minor differences discussed, and the state-based peridynamic model has shown the specific predictive capacity to capture the detailed crater features of the ice.

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Cite This Article

APA Style
Song, Y., Yan, J., Li, S., Kang, Z. (2019). Peridynamic modeling and simulation of ice craters by impact. Computer Modeling in Engineering & Sciences, 121(2), 465-492. https://doi.org/10.32604/cmes.2019.07190
Vancouver Style
Song Y, Yan J, Li S, Kang Z. Peridynamic modeling and simulation of ice craters by impact. Comput Model Eng Sci. 2019;121(2):465-492 https://doi.org/10.32604/cmes.2019.07190
IEEE Style
Y. Song, J. Yan, S. Li, and Z. Kang, “Peridynamic Modeling and Simulation of Ice Craters By Impact,” Comput. Model. Eng. Sci., vol. 121, no. 2, pp. 465-492, 2019. https://doi.org/10.32604/cmes.2019.07190

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cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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