3D numerical manifold method for crack propagation in rock materials using a local tracking algorithm
The modeling of crack growth in three-dimensional (3D) space poses significant challenges in rock mechanics due to the complex numerical computation involved in simulating crack propagation and interaction in rock materials. In this study, we present a novel approach that introduces a 3D numerical manifold method (3D-NMM) with a geometric kernel to enhance computational efficiency. Specifically, the maximum tensile stress criterion is adopted as a crack growth criterion to achieve strong discontinuous crack growth, and a local crack tracking algorithm and an angle correction technique are incorporated to address minor limitations of the algorithm in a 3D model. The implementation of the program is carried out in Python, using object-oriented programming in two independent modules: a calculation module and a crack module. Furthermore, we propose feasible improvements to enhance the performance of the algorithm. Finally, we demonstrate the feasibility and effectiveness of the enhanced algorithm in the 3D-NMM using four numerical examples. This study establishes the potential of the 3D-NMM, combined with the local tracking algorithm, for accurately modeling 3D crack propagation in brittle rock materials.
Authors
- Tao Xu (ORCID: https://orcid.org/0000-0001-8971-674X)
- Michael J. Heap (ORCID: https://orcid.org/0000-0002-4748-735X)
- Xian-yang Yu
- Guanglei Zhou (ORCID: https://orcid.org/0000-0002-7434-5808)
- Boyi Su
- Gen‐hua Shi
Institutions
- Centre National de la Recherche Scientifique (FR)
- Institut Universitaire de France (FR)
- Institute of Rock and Soil Mechanics (CN)
- University of Chinese Academy of Sciences (CN)
- Institut Terre & Environnement de Strasbourg (FR)
- Université de Strasbourg (FR)
- Shandong University of Science and Technology (CN)
- Northeastern University (CN)
Publication Details
- Journal
- Journal of Rock Mechanics and Geotechnical Engineering
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1016/j.jrmge.2024.04.038
- Citations
- 6
- Primary Topic
- Numerical methods in engineering
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- National Natural Science Foundation of China
- Institut Universitaire de France