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Dynamic Fracture Analysis for Shale Material by Peridynamic Modelling

Zhanqi Cheng1, Zhenyu Wang1, Zhongtao Luo2,*

School of Civil Engineering, Zhengzhou University, Zhengzhou, 450001, China.
School of Material Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.

* Corresponding Author: Zhongtao Luo. Email: email.

Computer Modeling in Engineering & Sciences 2019, 118(3), 509-527. https://doi.org/10.31614/cmes.2019.04339

Abstract

In this work, a bond-based peridynamics (PD) model was built to analyze the dynamic fracture of shale material. Both the the convergence studies and the result of dynamic crack propagation were presented. As well-known, crack propagation, aggregation, and bifurcation play an critical role in the failure analysis of brittle materials such as shale. The dynamic crack propagation and branching analysis of shale by using the PD method were discussed. Firstly, the valid and accuracy of the PD model for the rock materials was verified by comparing with the existed numerical results. Secondly, we discussed the convergence both with uniform grid refinement (m-convergence) and decreasing the peridynamics horizon (δ-convergence). Then the shale material with two pre-crack under uniaxial compression using the present PD model were discussed, and the influence of the different angle of flaws on the behavior of crack propagation was also analyzed. The results shows that both the loading conditions and the angle of flaws can influences the crack propagation in shale.

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Cite This Article

APA Style
Cheng, Z., Wang, Z., Luo, Z. (2019). Dynamic fracture analysis for shale material by peridynamic modelling. Computer Modeling in Engineering & Sciences, 118(3), 509-527. https://doi.org/10.31614/cmes.2019.04339
Vancouver Style
Cheng Z, Wang Z, Luo Z. Dynamic fracture analysis for shale material by peridynamic modelling. Comput Model Eng Sci. 2019;118(3):509-527 https://doi.org/10.31614/cmes.2019.04339
IEEE Style
Z. Cheng, Z. Wang, and Z. Luo, “Dynamic Fracture Analysis for Shale Material by Peridynamic Modelling,” Comput. Model. Eng. Sci., vol. 118, no. 3, pp. 509-527, 2019. https://doi.org/10.31614/cmes.2019.04339



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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