Author
Listed:
- Pu Peng
(Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China)
- Ze Li
(Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China)
- Xiaoyan Zhang
(Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China)
- Wenlian Liu
(Kunming Prospecting Design Institute, China Nonferrous Metals Industry Co., Ltd., Kunming 650051, China)
- Sugang Sui
(Kunming Prospecting Design Institute, China Nonferrous Metals Industry Co., Ltd., Kunming 650051, China)
- Hanhua Xu
(Yunnan Key Laboratory of Geotechnical Engineering and Geohazards, Kunming 650051, China)
Abstract
Conducting research on slope failure risk assessment is beneficial for the sustainable development of slopes. There will be various failure modes considering both the randomness of the groundwater level and soil shear strength parameters. Based on the integrated failure probability ( IFP ), the traditional failure risk analysis needs to count all failure modes, including the failure probability ( P f ) and failure risk coefficient ( C ), one-by-one. A new slope failure risk assessment method that uses the sum of the element failure risk to calculate the overall failure risk is proposed in this paper and considers both the randomness of the groundwater level and soil shear strength parameters. The element failure probability is determined by their location information and failure situation; the element failure risk coefficient is determined by their area. It transforms the complex overall failure risk problem into a simple element failure risk problem, which simplifies the calculation process and improves the calculation efficiency greatly. The correctness is verified with the systematic analysis of a classical case. The results show that the slope failure probability and failure risk are greatly increased from 1.40% to 3.30% and 0.829 m 2 to 2.094 m 2 with rising groundwater level, respectively.
Suggested Citation
Pu Peng & Ze Li & Xiaoyan Zhang & Wenlian Liu & Sugang Sui & Hanhua Xu, 2023.
"Slope Failure Risk Assessment Considering Both the Randomness of Groundwater Level and Soil Shear Strength Parameters,"
Sustainability, MDPI, vol. 15(9), pages 1-25, May.
Handle:
RePEc:gam:jsusta:v:15:y:2023:i:9:p:7464-:d:1137965
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Citations
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Cited by:
- Ruixia He & Ziwen Zhou & Sai Vanapalli & Xuyang Wu, 2024.
"Determination of the Shear Strength of Unsaturated Loess Samples from Conventional Triaxial Shear Tests Applying Rubber Membrane Correction,"
Sustainability, MDPI, vol. 16(5), pages 1-15, March.
- Flávio Rogério & Nuno Guerra & Armando Antão & Mário Vicente da Silva, 2024.
"Soil Strength Parameters for the Sustainable Design of Unsupported Cuts Under Drained Conditions Using Reliability Analysis,"
Sustainability, MDPI, vol. 16(23), pages 1-16, December.
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