Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters
Determining the failure probabilities of submarine slopes over long distances is crucial for assessing slope stability, given the randomness of soil parameters. Based on the theory of stochastic fields and the method of limit equilibrium, this study introduces a quantitative method that incorporates...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Built Environment |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fbuil.2025.1545900/full |
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| author | Long Yu Yang Bao Kunming Ma Yunrui Han Yibin Yan Bin Xu Zhongtao Wang Rui Pang |
| author_facet | Long Yu Yang Bao Kunming Ma Yunrui Han Yibin Yan Bin Xu Zhongtao Wang Rui Pang |
| author_sort | Long Yu |
| collection | DOAJ |
| description | Determining the failure probabilities of submarine slopes over long distances is crucial for assessing slope stability, given the randomness of soil parameters. Based on the theory of stochastic fields and the method of limit equilibrium, this study introduces a quantitative method that incorporates spatial variability of soil parameters to evaluate submarine slope stability. Assuming a linear increase in undrained strength with depth, the slope stability is estimated under static loading derived from nonstationary random fields, and the effect of a weak layer on the slope stability is also analyzed. This study show that ignores the spatial variability of the soil parameters significantly overestimate the performance for the slope stability. In conclusion, the lower and upper ends of the probability index range are found to have great significance in practical engineering design. The combination of traditional deterministic slope analysis and probabilistic assessments will be beneficial to slope engineering practice and will improve the decision-making process. |
| format | Article |
| id | doaj-art-d90855623dde4c8b8b104ca0801426d4 |
| institution | Kabale University |
| issn | 2297-3362 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Built Environment |
| spelling | doaj-art-d90855623dde4c8b8b104ca0801426d42025-02-07T09:50:18ZengFrontiers Media S.A.Frontiers in Built Environment2297-33622025-01-011110.3389/fbuil.2025.15459001545900Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parametersLong Yu0Yang Bao1Kunming Ma2Yunrui Han3Yibin Yan4Bin Xu5Zhongtao Wang6Rui Pang7School of Civil Engineering and State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, ChinaSchool of Civil Engineering and State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, ChinaOffshore Oil Engineering Co., Ltd., Tianjin, ChinaSchool of Civil Engineering and State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, ChinaSchool of Civil Engineering and State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, ChinaSchool of Civil Engineering and State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, ChinaSchool of Civil Engineering and State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, ChinaSchool of Civil Engineering and State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, ChinaDetermining the failure probabilities of submarine slopes over long distances is crucial for assessing slope stability, given the randomness of soil parameters. Based on the theory of stochastic fields and the method of limit equilibrium, this study introduces a quantitative method that incorporates spatial variability of soil parameters to evaluate submarine slope stability. Assuming a linear increase in undrained strength with depth, the slope stability is estimated under static loading derived from nonstationary random fields, and the effect of a weak layer on the slope stability is also analyzed. This study show that ignores the spatial variability of the soil parameters significantly overestimate the performance for the slope stability. In conclusion, the lower and upper ends of the probability index range are found to have great significance in practical engineering design. The combination of traditional deterministic slope analysis and probabilistic assessments will be beneficial to slope engineering practice and will improve the decision-making process.https://www.frontiersin.org/articles/10.3389/fbuil.2025.1545900/fullsubmarine slopesspatial variabilityrandom fieldscale of fluctuationreliability index |
| spellingShingle | Long Yu Yang Bao Kunming Ma Yunrui Han Yibin Yan Bin Xu Zhongtao Wang Rui Pang Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters Frontiers in Built Environment submarine slopes spatial variability random field scale of fluctuation reliability index |
| title | Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters |
| title_full | Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters |
| title_fullStr | Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters |
| title_full_unstemmed | Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters |
| title_short | Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters |
| title_sort | probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters |
| topic | submarine slopes spatial variability random field scale of fluctuation reliability index |
| url | https://www.frontiersin.org/articles/10.3389/fbuil.2025.1545900/full |
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