Loading…

Application of Rough Set Method Based on Modified Efficiency Coefficient in Slope Stability Analysis

In order to evaluate the slope stability objectively and prevent geological disasters, the modified efficiency coefficient method was used to evaluate the slope stability. The main factors influencing slope stability were selected as evaluation indicators, including slope angle, slope height, intern...

Full description

Saved in:
Bibliographic Details
Published in:Geotechnical and geological engineering 2020-10, Vol.38 (5), p.5603-5612
Main Authors: Qiao, Chen, Li, Chang-hong, Xiao, Yong-gang
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In order to evaluate the slope stability objectively and prevent geological disasters, the modified efficiency coefficient method was used to evaluate the slope stability. The main factors influencing slope stability were selected as evaluation indicators, including slope angle, slope height, internal friction angle, cohesion, bulk density and pore pressure ratio. The rough set theory was used to simplify the attributes of the slope stability evaluation indicators and determine the weight coefficient of the important indicators extracted. The weight coefficient was applied to the modified efficiency coefficient method to calculate the total efficiency coefficient value of the sample and evaluate the slope stability grade. The comprehensive evaluation model based on rough set and modified efficiency coefficient method is used to predict the stability of a slope project. The results show that the prediction results of this method are consistent with the actual state of the project, and the accuracy of the evaluation using the comprehensive evaluation model is 90.9%, which verifies the validity and reliability of this method. The combination of rough set theory and modified efficiency coefficient method can effectively improve the accuracy of slope stability evaluation and provide a new idea for slope stability evaluation.
ISSN:0960-3182
1573-1529
DOI:10.1007/s10706-020-01516-x