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Study on Crack Propagation Parameters of Tunnel Lining Structure Based on Peridynamics

Zhihui Xiong, Xiaohui Zhou*, Jinjie Zhao, Hao Cui, Bo Wang

School of Water Conservancy Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China

* Corresponding Author: Xiaohui Zhou. Email: email

(This article belongs to the Special Issue: Peridynamics and its Current Progress)

Computer Modeling in Engineering & Sciences 2023, 135(3), 2449-2478. https://doi.org/10.32604/cmes.2023.023353

Abstract

The numerical simulation results utilizing the Peridynamics (PD) method reveal that the initial crack and crack propagation of the tunnel concrete lining structure agree with the experimental data compared to the Japanese prototype lining test. The load structure model takes into account the cracking process and distribution of the lining segment under the influence of local bias pressure and lining thickness. In addition, the influence of preset cracks and lining section form on the crack propagation of the concrete lining model is studied. This study evaluates the stability and sustainability of tunnel structure by the Peridynamics method, which provides a reference for the analysis of the causes of lining cracks, and also lays a foundation for the prevention, reinforcement and repair of tunnel lining cracks.

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APA Style
Xiong, Z., Zhou, X., Zhao, J., Cui, H., Wang, B. (2023). Study on crack propagation parameters of tunnel lining structure based on peridynamics. Computer Modeling in Engineering & Sciences, 135(3), 2449-2478. https://doi.org/10.32604/cmes.2023.023353
Vancouver Style
Xiong Z, Zhou X, Zhao J, Cui H, Wang B. Study on crack propagation parameters of tunnel lining structure based on peridynamics. Comput Model Eng Sci. 2023;135(3):2449-2478 https://doi.org/10.32604/cmes.2023.023353
IEEE Style
Z. Xiong, X. Zhou, J. Zhao, H. Cui, and B. Wang, “Study on Crack Propagation Parameters of Tunnel Lining Structure Based on Peridynamics,” Comput. Model. Eng. Sci., vol. 135, no. 3, pp. 2449-2478, 2023. https://doi.org/10.32604/cmes.2023.023353



cc Copyright © 2023 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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