DocumentCode :
1783092
Title :
A method of multi-surface evidence fusion slope stability analysis based on random set
Author :
Zhou Kefei ; Wen Chenglin ; Xu Xiaobin
Author_Institution :
Coll. of Autom., Hangzhou Dianzi Univ., Hangzhou, China
fYear :
2014
fDate :
28-29 Sept. 2014
Firstpage :
1
Lastpage :
6
Abstract :
The traditional methods of slope stability analysis are using cohesion and inner friction angle and other parameters to calculate the safety factor of stability. One of the most representative is the Sweden arc method which is most widely used in engineering. The problem lies in that the parameters being fixed value have not considered the existence of uncertainties of soil character. Different choice of the soil parameters often lead to different safety factor. The results tend to be more conservative, and there is no method to consider the comprehensive effect of multiple landslide. Based on the theory of random set and theory of evidence, as well as the Swedish arc method this paper gives a method of multi-surface evidence fusion slope stability analysis based on random set. First, we use two random sets to represent two uncertain parameters of the slope based on random set theory. By Extension Principles five sliding surface are mapped to five output random sets. Then use the Dempster combination rule to fuse five output random sets to get a comprehensive output. Following this transform it into pignistic cumulative distribution by TBM method to assess the stability of slope. Finally, we using the simulation comparing single surface results with multi-surface result, verifies the validity of the method.
Keywords :
friction; geomorphology; geotechnical engineering; geotechnical structures; mechanical stability; set theory; soil; Dempster combination rule; Sweden arc method; TBM method; cohesion; inner friction angle; landslide; multisurface evidence fusion slope stability analysis method; pignistic cumulative distribution; random set theory; safety factor; slope stability; soil character; soil parameters; uncertain slope parameters; Fuses; Probability distribution; Random variables; Safety; Soil; Stability analysis; Terrain factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6731-5
Type :
conf
DOI :
10.1109/MFI.2014.6997684
Filename :
6997684
Link To Document :
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