DocumentCode
3313766
Title
Fuzzy Probability Theory-Based Optimization Scheme for Deep Foundation Pit of Metro
Author
Liu, Zhangjun ; Lei, Yaolong ; Xiong, Min
Author_Institution
Coll. of Civil & Hydroelectric Eng., China Three Gorges Univ., Yichang, China
Volume
2
fYear
2010
fDate
28-31 May 2010
Firstpage
137
Lastpage
140
Abstract
According to characteristics of bracing engineering for deep foundation pit in metro, an index system for supporting scheme is established. Using the theory of fuzzy probability and analytic hierarchy process (AHP), a comprehensive assessment model is constructed to optimize supporting scheme for deep excavation of metro. In order to assess the index weights scientifically, the fuzzy weighted value is proposed to avoid the limitation while determining the index weights. The practical example, with 4 supporting schemes for deep foundation pit of metro in Guangzhou, is introduced and compared to the results obtained by other methods. The method is based on clear concept and rigorous theories, and can be applied extensively to obtain objective and dependable result for the managers of civil engineering.
Keywords
decision making; foundations; fuzzy set theory; geotechnical engineering; optimisation; probability; analytic hierarchy process; bracing engineering; comprehensive assessment model; deep excavation; deep foundation pit; fuzzy probability; fuzzy probability theory-based optimization scheme; fuzzy weighted value; index system; metro; Civil engineering; Design optimization; Educational institutions; Engineering management; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Mathematics; Uncertainty; Virtual manufacturing; analytic hierarchy process; deep foundation pit; fuzzy probability; optimization scheme;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
Conference_Location
Huangshan, Anhui
Print_ISBN
978-1-4244-6812-6
Electronic_ISBN
978-1-4244-6813-3
Type
conf
DOI
10.1109/CSO.2010.22
Filename
5533075
Link To Document