Assessing model of highway slope stability based on optimized SVM

Peng-fei Niu; Ai-hong Zhou; Hu-cheng Huang

doi:10.31035/cg2020032

2020 Vol. 3, No. 2

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Article navigation > China Geology > 2020 > 3(2): 339-344

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Peng-fei Niu, Ai-hong Zhou, Hu-cheng Huang, 2020. Assessing model of highway slope stability based on optimized SVM, China Geology, 3, 339-344. doi: 10.31035/cg2020032

Citation:

Peng-fei Niu, Ai-hong Zhou, Hu-cheng Huang, 2020. Assessing model of highway slope stability based on optimized SVM, China Geology, 3, 339-344. doi: 10.31035/cg2020032

Assessing model of highway slope stability based on optimized SVM

a.
School of Prospecting Technology and Engineering, Hebei GEO University, Shijiazhuang 050031, China
b.
Hebei Center for Ecological and Environmental Geology Research, Hebei GEO University, Shijiazhuang 050031, China
c.
Shanxi Institute of Geological Survey, Taiyuan 030006, China

More Information

Corresponding author: sensiblecall@163.com (Ai-hong Zhou)

Received Date: 08 October 2019

Revised Date: 11 February 2020

Accepted Date: 14 April 2020

Available Online: 05 June 2020

Publish Date: 25 June 2020

Abstract

Abstract

Considering the geological hazards attributed to the highway slope, using a common simple model cannot accurately assess the stability of the slope. First, principal component analysis (PCA) was conducted to extract the principal components of six factors (namely, bulk density, cohesion, internal friction angle, slope angle, slope height, and pore water pressure ratio) affecting the slope stability. Second, four principal components were adopted as input variables of the support vector machine (SVM) model optimized by genetic algorithm (GA). The output variable was slope stability. Lastly, the assessing model of highway slope stability based on PCA-GA-SVM is established. The maximal absolute error of the model is 0.0921 and the maximal relative error is 9.21% by comparing the assessment value and the practical value of the test sample. The above studies are conducive to enrich the assessing model of highway slope stability and provide some reference for highway slope engineering treatment.
- Highway slope /
- Principal component analysis /
- Genetic algorithm /
- Support vector machine /
- Stability /
- Geological hazard engineering

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References

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