• DocumentCode
    2267931
  • Title

    Inverse Analysis of Initial In-Situ Stress Fields Based on Fuzzy Comprehensive Appraising Genetic Algorithm

  • Author

    Bin, Ma ; Lan, Qi ; Yijia, Li

  • Author_Institution
    Sch. of Civil Eng., Tianjin Univ., Tianjin
  • Volume
    3
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    94
  • Lastpage
    98
  • Abstract
    The initial in-situ stress field is composed of the gravity field and the structural field. The form, combination, direction and magnitude of the structural motion actions is the key for inversion analysis of initial in-situ field. An inversion method of initial in-situ stress field is proposed in this paper. Fuzzy evaluation data-base to every variety of feasible plans and fuzzy membership function for every variety of feasible plans is established, respectively. A method using fuzzy evaluation is used to identify the form, combination and direction of the structural motion actions and the genetic algorithm is used to get the undetermined coefficients, then the initial in-situ stress field is obtained. The numerical results show that the method is very effective and feasible.
  • Keywords
    fuzzy set theory; genetic algorithms; geology; gravity; stress analysis; tectonics; fuzzy comprehensive appraising; fuzzy evaluation; fuzzy membership function; genetic algorithm; geology; gravity field; initial in-situ stress fields; inverse analysis; structural field; structural motion actions; tectonic stress; Algorithm design and analysis; Appraisal; Design engineering; Displacement measurement; Finite element methods; Genetic algorithms; Geologic measurements; Information analysis; Reliability engineering; Stress measurement; fuzzy comprehensive appraising; genetic algorithm; initial strss field; inversion analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.126
  • Filename
    4739966