Application of Fuzzy Information Optimization Technology on Analysis of Loess Landslide Stability

Author:

Peng Shu Jun1,Ma Yan1,Wang Jia Ding1,Xie Wan Li1

Affiliation:

1. Northwest University

Abstract

The fuzzy information optimization method is applied to the loess landslide stability analysis. Based on the laboratory tests and field investigation, considering the influence of the five main factors such as cohesive force, internal friction angle, the landslide slope landslide, height and earthquake ground motion parameters of the loess landslide, the fuzzy information optimization method like information distribution, information focus and other methods were used to evaluate the stability of loess landslide. The results show that the result of assessment was in accord with the actual condition. The evaluation method is applicable to the loess region. Compared to the limit equilibrium method, it improves engineering economic benefits.

Publisher

Trans Tech Publications, Ltd.

Reference8 articles.

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2. Zhang-ming Li. Application of Fuzzy analysis in Slope Stability Evaluation[J]. Chinese Journal of Rock Mechanics and Engineering, 1997, 16 (5):490~495.

3. Xin-hua Xu, Wo-hua Zhang et al. Evaluation of slope stability based on genetic algorithm and fuzzy neural network[J]. Rock and Soil Mechanics, 2007, 28(12): 2643-2648.

4. Le-qiu CHEN, Zhen-bin PENG et al. Artificial neural network simulation on prediction of clay slope stability based on fuzzy controller [J]. Journal of Central South University (Science and Technology), 2009, 40(5): 1381-1387.

5. Zhi-hai QIN, Peng QIN. Evaluation coupling model for high slope stability based on fuzzy analytical hierarchy process- set pair analysis method [J]. Chinese Journal of Geotechnical Engineering, 2010, 32(5): 706-711.

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