Numerical Simulation Study of Landslide Formation Mechanism Based on Strength Parameter
The shear strength parameters of landslide zones are the necessary data basis for landslide stability evaluation and landslide surge disaster chain research. It is important to determine the physical and mechanical parameters of landslide zones scientifically and reasonably. In this study, four small residual landslide deposits near the Hei Duo Village road in Diebu County, Gansu Province, were investigated. The research involved detailed field investigations, the construction of landslide engineering geological models, and the use of the transfer coefficient method for simultaneous/inverse inversion and sensitivity analysis of the strength parameters of the four landslides. Based on the inversion results, an analysis of the landslide formation mechanism was conducted. The inversion results yielded the shear strength parameters of the sliding surface soil as c = 30.12 kPa and φ = 21.08°. It was found that the excavation at the base of the slope is the direct triggering factor for the landslides, with the 3# landslide being the most affected by the base excavation. In terms of the type of movement, all four landslides belong to the retrogressive landslide, with the maximum shear strain increment mainly concentrated at the slope angle after excavation. The slope body experiences shear failure, which is in good agreement with the field conditions. The study provides reference for stability prediction and disaster prevention and control of reservoir bank slope.
Authors
- Guangxiang Yuan
- Peng Cheng (ORCID: https://orcid.org/0000-0001-8932-2011)
- Yongqiang Tang
Institutions
- North China University of Water Resources and Electric Power (CN)
- China Institute of Water Resources and Hydropower Research (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-08-15
- DOI
- https://doi.org/10.3390/app15169004
- Primary Topic
- Landslides and related hazards
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China