• 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