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Published in: Arabian Journal for Science and Engineering 11/2021

14-02-2021 | Research Article-Civil Engineering

Towards on Slope-Cutting Scheme Optimization for Shiliushubao Landslide Exposed to Reservoir Water Level Fluctuations

Authors: Zhenhua Zhang, Wu Liu, Yingbo Zhang, Jintuan Zhang

Published in: Arabian Journal for Science and Engineering | Issue 11/2021

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Abstract

Bank slopes with huge accumulative sliding masses in a reservoir area suffer from landslide risks subjected to reservoir water fluctuations, and slope-cutting is an effective measure for the slope reinforcement. In this paper, a suitably and practicably integrated approach was put forward to the optimization design of the slope-cutting measure on the Shiliushubao landslide in Three Gorges Reservoir, China. It includes the determination of the most unfavorable reservoir water level variation condition according to the Three Gorges operation process, the mainly slope-cutting parts based on calculated residual sliding force curves, the main controlling factors of slope-cutting and their optimization ranges. The optimization analysis of the slope-cutting scheme for the Shiliushubao landslide was performed by taking advantage of the uniform design, transfer coefficient method, GA and ANN. The optimized layout of slope-cutting measure for Shiliushubao landslide after optimization study was to set the three main controlling factors of slope-cutting as i1 = 2.11, xb = 279.6 m and i2 = 2.01, which satisfied the objectives of both economy and landslide stability. The research results are helpful for the optimization design of slope-cutting scheme on reservoir landslides with large-scale accumulations.

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Appendix
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Metadata
Title
Towards on Slope-Cutting Scheme Optimization for Shiliushubao Landslide Exposed to Reservoir Water Level Fluctuations
Authors
Zhenhua Zhang
Wu Liu
Yingbo Zhang
Jintuan Zhang
Publication date
14-02-2021
Publisher
Springer Berlin Heidelberg
Published in
Arabian Journal for Science and Engineering / Issue 11/2021
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-021-05360-w

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