• DocumentCode
    496272
  • Title

    A New Intelligent Back-Analysis Method Based on Differential Evolution Algorithm

  • Author

    Su, Guoshao

  • Author_Institution
    Dept. of Civil & Archit. Eng., Guangxi Univ., Nanning, China
  • Volume
    1
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    212
  • Lastpage
    214
  • Abstract
    In light of the fact that it is very hard to determine mechanics parameters of rock mass using the traditional method in geotechnical engineering, a new method based on Differential Evolution algorithm (DE) combined with Fast Lagrangian Analysis of Continua in 3 Dimension (FLAC3D) numerical calculation code is proposed for identification of the mechanics parameters of rock mass. At first, stochastic mechanics parameters are initialized. Then, the difference in displacement between the numerical value and in-situ measurements is regarded as fitness value to evaluate quality of the trial mechanics parameters. Furthermore, mechanics parameters of rock mass are updated continually according to differential evolution rule until the optimum mechanic parameters are found. The results of case study and application in tunnel engineering both show that the method is feasible and efficient for identifying mechanics parameters of rock mass.
  • Keywords
    geotechnical engineering; numerical analysis; rocks; statistical mechanics; stochastic processes; tunnels; differential evolution algorithm; differential evolution rule; fast Lagrangian analysis of continua; geotechnical engineering; intelligent back-analysis method; rock mass mechanics parameters; stochastic mechanics; tunnel engineering; Algorithm design and analysis; Chromium; Computational intelligence; Computer architecture; Genetic mutations; Lagrangian functions; Mechanical variables measurement; Numerical models; Optimization methods; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.262
  • Filename
    5193677