Study on material point failure probability of complex jointed rock masses based on peridynamics
Abstract In rock masses, the presence of numerous randomly distributed joints introduces uncertainty, making the prediction of failure paths challenging. Among these, key joints significantly influence rock mass fracturing. This study proposes a peridynamics (PD) method based on Monte Carlo simulati...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-93510-7 |
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| author | Yigong Zhao Xiaoyan Zhang Ze Li Wushu Dong Yakun Guo |
| author_facet | Yigong Zhao Xiaoyan Zhang Ze Li Wushu Dong Yakun Guo |
| author_sort | Yigong Zhao |
| collection | DOAJ |
| description | Abstract In rock masses, the presence of numerous randomly distributed joints introduces uncertainty, making the prediction of failure paths challenging. Among these, key joints significantly influence rock mass fracturing. This study proposes a peridynamics (PD) method based on Monte Carlo simulation analysis, discussing the impact of joints with different dips in complex joint networks on rock mass failure probabilities. Efficient parallel computing programs have been developed, markedly enhancing the computational efficiency of large-scale Monte Carlo simulations for PD analysis. The concept of material point failure probability (PFP) is presented, investigating the variation of PFP contour maps after excluding specific joint dips. Grid-based PFP contour maps and Grid-based JAIC (Joint Angle Impact Coefficient) contour maps are created, enabling a quantitative assessment of rock mass failure probabilities. The study reveals the influence of joint dip angles on the failure probabilities of rock masses with complex joint networks. Additionally, the concept of key and non-key joint dip angles based on the grid is introduced. Statistical methods for identifying key and non-key joints in rock mass grid regions are established, providing new perspectives and tools for understanding and predicting the failure of rock masses with complex joint networks. This research contributes to the reliability study of rock mechanics and provides new theoretical guidance for geotechnical engineering. |
| format | Article |
| id | doaj-art-faae684f3e564239bab705025201176b |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-faae684f3e564239bab705025201176b2025-08-20T02:10:20ZengNature PortfolioScientific Reports2045-23222025-03-0115112210.1038/s41598-025-93510-7Study on material point failure probability of complex jointed rock masses based on peridynamicsYigong Zhao0Xiaoyan Zhang1Ze Li2Wushu Dong3Yakun Guo4Faculty of Civil Engineering and Mechanics, Kunming University of Science and TechnologyFaculty of Electric Power Engineering, Kunming University of Science and TechnologyFaculty of Civil Engineering and Mechanics, Kunming University of Science and TechnologyFaculty of Civil Engineering and Mechanics, Kunming University of Science and TechnologyFaculty of Engineering and Informatics, University of BradfordAbstract In rock masses, the presence of numerous randomly distributed joints introduces uncertainty, making the prediction of failure paths challenging. Among these, key joints significantly influence rock mass fracturing. This study proposes a peridynamics (PD) method based on Monte Carlo simulation analysis, discussing the impact of joints with different dips in complex joint networks on rock mass failure probabilities. Efficient parallel computing programs have been developed, markedly enhancing the computational efficiency of large-scale Monte Carlo simulations for PD analysis. The concept of material point failure probability (PFP) is presented, investigating the variation of PFP contour maps after excluding specific joint dips. Grid-based PFP contour maps and Grid-based JAIC (Joint Angle Impact Coefficient) contour maps are created, enabling a quantitative assessment of rock mass failure probabilities. The study reveals the influence of joint dip angles on the failure probabilities of rock masses with complex joint networks. Additionally, the concept of key and non-key joint dip angles based on the grid is introduced. Statistical methods for identifying key and non-key joints in rock mass grid regions are established, providing new perspectives and tools for understanding and predicting the failure of rock masses with complex joint networks. This research contributes to the reliability study of rock mechanics and provides new theoretical guidance for geotechnical engineering.https://doi.org/10.1038/s41598-025-93510-7PeridynamicsRandom jointsNumerical simulationCrack propagationMonte Carlo simulation |
| spellingShingle | Yigong Zhao Xiaoyan Zhang Ze Li Wushu Dong Yakun Guo Study on material point failure probability of complex jointed rock masses based on peridynamics Scientific Reports Peridynamics Random joints Numerical simulation Crack propagation Monte Carlo simulation |
| title | Study on material point failure probability of complex jointed rock masses based on peridynamics |
| title_full | Study on material point failure probability of complex jointed rock masses based on peridynamics |
| title_fullStr | Study on material point failure probability of complex jointed rock masses based on peridynamics |
| title_full_unstemmed | Study on material point failure probability of complex jointed rock masses based on peridynamics |
| title_short | Study on material point failure probability of complex jointed rock masses based on peridynamics |
| title_sort | study on material point failure probability of complex jointed rock masses based on peridynamics |
| topic | Peridynamics Random joints Numerical simulation Crack propagation Monte Carlo simulation |
| url | https://doi.org/10.1038/s41598-025-93510-7 |
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