Stability analysis of slopes based on cloud model-Monte Carlo coupling
Risk analysis of dam slopes is crucial for ensuring the safety and stability of hydraulic engineering. To improve the accuracy and reliability of risk analysis, we adopt the cloud theory approach and conduct a study on the distribution types of soil shear strength indicators based on indoor geotechn...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-05-01
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| Series: | Frontiers in Earth Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2023.1196677/full |
| _version_ | 1797830052761567232 |
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| author | Liwei Han Liwei Han Ming Chen Zuozhuang Sun Jiaxuan Si Liyuan Ma Wenhui Ji Hongyang Zhang |
| author_facet | Liwei Han Liwei Han Ming Chen Zuozhuang Sun Jiaxuan Si Liyuan Ma Wenhui Ji Hongyang Zhang |
| author_sort | Liwei Han |
| collection | DOAJ |
| description | Risk analysis of dam slopes is crucial for ensuring the safety and stability of hydraulic engineering. To improve the accuracy and reliability of risk analysis, we adopt the cloud theory approach and conduct a study on the distribution types of soil shear strength indicators based on indoor geotechnical tests. We propose a “cloud model-Monte Carlo” coupling model that uses the cloud model to describe the uncertainty of risk factors and determine the probability distribution types of shear strength parameters, while the Monte Carlo method is used to simulate random variables in the model. The effectiveness of the proposed model is validated through a risk analysis of a slope of an earth-rock dam, with results showing significantly greater accuracy and reliability compared to traditional methods. The calculation results show that the risk probability corresponding to the design flood level of the dam is 9.01×10-6, exceeding its allowable risk standard of 0.5×10-6, hence the need for reinforcement treatment. The proposed model can accurately evaluate the risk of dams and provide the scientific basis for decision-making in dam safety management. |
| first_indexed | 2024-04-09T13:29:55Z |
| format | Article |
| id | doaj.art-be7210f1eb4a4a2988ee8b6456b9b15d |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-04-09T13:29:55Z |
| publishDate | 2023-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-be7210f1eb4a4a2988ee8b6456b9b15d2023-05-10T04:56:30ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-05-011110.3389/feart.2023.11966771196677Stability analysis of slopes based on cloud model-Monte Carlo couplingLiwei Han0Liwei Han1Ming Chen2Zuozhuang Sun3Jiaxuan Si4Liyuan Ma5Wenhui Ji6Hongyang Zhang7School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, ChinaHenan Key Laboratory of Water Environment Simulation and Treatment, Zhengzhou, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, ChinaRisk analysis of dam slopes is crucial for ensuring the safety and stability of hydraulic engineering. To improve the accuracy and reliability of risk analysis, we adopt the cloud theory approach and conduct a study on the distribution types of soil shear strength indicators based on indoor geotechnical tests. We propose a “cloud model-Monte Carlo” coupling model that uses the cloud model to describe the uncertainty of risk factors and determine the probability distribution types of shear strength parameters, while the Monte Carlo method is used to simulate random variables in the model. The effectiveness of the proposed model is validated through a risk analysis of a slope of an earth-rock dam, with results showing significantly greater accuracy and reliability compared to traditional methods. The calculation results show that the risk probability corresponding to the design flood level of the dam is 9.01×10-6, exceeding its allowable risk standard of 0.5×10-6, hence the need for reinforcement treatment. The proposed model can accurately evaluate the risk of dams and provide the scientific basis for decision-making in dam safety management.https://www.frontiersin.org/articles/10.3389/feart.2023.1196677/fullshear strength indexprobability distribution typecloud theoryearth and rock damsrisk analysis |
| spellingShingle | Liwei Han Liwei Han Ming Chen Zuozhuang Sun Jiaxuan Si Liyuan Ma Wenhui Ji Hongyang Zhang Stability analysis of slopes based on cloud model-Monte Carlo coupling Frontiers in Earth Science shear strength index probability distribution type cloud theory earth and rock dams risk analysis |
| title | Stability analysis of slopes based on cloud model-Monte Carlo coupling |
| title_full | Stability analysis of slopes based on cloud model-Monte Carlo coupling |
| title_fullStr | Stability analysis of slopes based on cloud model-Monte Carlo coupling |
| title_full_unstemmed | Stability analysis of slopes based on cloud model-Monte Carlo coupling |
| title_short | Stability analysis of slopes based on cloud model-Monte Carlo coupling |
| title_sort | stability analysis of slopes based on cloud model monte carlo coupling |
| topic | shear strength index probability distribution type cloud theory earth and rock dams risk analysis |
| url | https://www.frontiersin.org/articles/10.3389/feart.2023.1196677/full |
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