• DocumentCode
    2443316
  • Title

    Fuzzy probability analysis on foundation pit´s base against heave stability

  • Author

    Liao, Ying ; Wang, Yuexiang

  • Author_Institution
    Coll. of Civil Eng., Univ. of Sci. & Technol. of Suzhou, Suzhou, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1240
  • Lastpage
    1243
  • Abstract
    In view of the randomness and fuzziness of the problem of foundation pit´s base against heave stability, the defect of the tradional safety factor method is existent objectively although it is very simple, therefore in combination with structural reliability and fuzzy mathematics theory to solve this problem is of practical significance. The calculating method of the fuzzy instable probability is studied on according to the fuzzy random variable´s probable distribution and membership function. Through an engineering example´s calculating results, the influence of variable´s different probable distribution and limits of the fuzzy transition area on the fuzzy instable probability is analised. The analysis indicates that the influence of the variable´s probable distribution on the results is extremely trivial for the small probability event, in addition, the fuzzy instable probability would be increased along with the increasing of the fuzzy transition area. Therefore, as compared with the safety factor, the fuzzy probability could reflect the essence of the problem objectively and comprehensively.
  • Keywords
    foundations; fuzzy set theory; geotechnical engineering; mechanical stability; reliability; statistical distributions; foundation pit base; fuzzy instable probability; fuzzy mathematics; fuzzy membership function; fuzzy probability analysis; fuzzy random variable probable distribution; fuzzy transition area; heave stability; safety factor method; structural reliability; Industries; Presses; Probability; Reliability theory; Safety; Stability analysis; foundation pit; fuzzy; heave; probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964504
  • Filename
    5964504