Slope Failure Risk Assessment Considering Both the Randomness of Groundwater Level and Soil Shear Strength Parameters

Pu Peng, Ze Li (), Xiaoyan Zhang, Wenlian Liu, Sugang Sui and Hanhua Xu
Additional contact information
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

Sustainability, 2023, vol. 15, issue 9, 1-25

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.

Keywords: failure risk; element failure probability; spatial variability; stochastic groundwater level; upper bound method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/9/7464/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/9/7464/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:9:p:7464-:d:1137965

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().