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Stability of Unsaturated Soil Slope Considering Stratigraphic Uncertainty

Author

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  • Wei Cao

    (School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
    School of Architectural Engineering, North China Institute of Science and Technology, Langfang 065201, China)

  • Zheng Wan

    (School of Architectural Engineering, North China Institute of Science and Technology, Langfang 065201, China)

  • Wenjing Li

    (School of Architecture, Yanching Institute of Technology, Langfang 065201, China)

Abstract

Stratigraphic uncertainty is widely present in nature, but it has not been well considered in the stability analysis of unsaturated soil slopes in the past. In this study, the stability of the unsaturated soil slope is evaluated based on borehole data considering stratigraphic uncertainty. Firstly, an enhanced coupled Markov chain model is used to simulate stratigraphic uncertainty. Then, a finite element algorithm for automatically calculating the safety factor ( FS ) and the average groundwater table ( AGT ) of the unsaturated soil slope is developed. At last, a hypothetical slope located in the stratum from Perth, West Australia is analyzed using the proposed algorithm under different borehole schemes. The results show that with the increase in the borehole number, the statistics of FS and AGT will not monotonically increase or decrease. But the trend is that the mean values of FS and AGT gradually approach and eventually converge to the real values, and the standard deviations of FS and AGT decrease. There is a linear relationship between the standard deviation of FS (or AGT ) and the average information entropy. The FS and AGT are negatively correlated considering stratigraphic uncertainty.

Suggested Citation

  • Wei Cao & Zheng Wan & Wenjing Li, 2023. "Stability of Unsaturated Soil Slope Considering Stratigraphic Uncertainty," Sustainability, MDPI, vol. 15(13), pages 1-24, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10717-:d:1189003
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    References listed on IDEAS

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    1. Ancuța Rotaru & Florin Bejan & Dalia Almohamad, 2022. "Sustainable Slope Stability Analysis: A Critical Study on Methods," Sustainability, MDPI, vol. 14(14), pages 1-30, July.
    2. Tiesheng Yan & Jun Xiong & Longjian Ye & Jiajun Gao & Hui Xu, 2023. "Field Investigation and Finite Element Analysis of Landslide-Triggering Factors of a Cut Slope Composed of Granite Residual Soil: A Case Study of Chongtou Town, Lishui City, China," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    3. Jun Jia & Xiangjun Pei & Gang Liu & Guojun Cai & Xiaopeng Guo & Bo Hong, 2023. "Failure Mechanism of Anti-Dip Layered Soft Rock Slope under Rainfall and Excavation Conditions," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    4. Odey Alshboul & Ali Shehadeh & Ghassan Almasabha & Ali Saeed Almuflih, 2022. "Extreme Gradient Boosting-Based Machine Learning Approach for Green Building Cost Prediction," Sustainability, MDPI, vol. 14(11), pages 1-20, May.
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    Cited by:

    1. Katherin Rocio Cano Bezerra da Costa & Ana Paola do Nascimento Dantas & André Luís Brasil Cavalcante & André Pacheco de Assis, 2023. "Probabilistic Approach to Transient Unsaturated Slope Stability Associated with Precipitation Event," Sustainability, MDPI, vol. 15(21), pages 1-19, October.

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