• DocumentCode
    3149907
  • Title

    A deformation monitoring model for concrete dams based on PSO-ASIN

  • Author

    Gu, Xiaoqing ; Shen, Zhenzhong

  • Author_Institution
    Coll. of Water Conservancy & Hydropower Eng., Hohai Univ., Nanjing, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    3012
  • Lastpage
    3015
  • Abstract
    Deformation is one of the most important monitoring variables for concrete dams and widely used in dam safety monitoring. Based on standard particle swarm optimization method (SPSO), this paper presents a modified particle swarm optimization method (PSO-ASIN) using the inertia weight strategy of arcsine function. By applying PSO-ASIN to the multiple regression statistical function, this paper establishes a deformation monitoring model for concrete dams and brings this model into an engineering example. The results show that PSO-ASIN remarkably improves the algorithm performance as well as the prediction accuracy of the deformation monitoring model for concrete dams compared to the traditional least square method (LSM) and SPSO.
  • Keywords
    concrete; condition monitoring; dams; deformation; particle swarm optimisation; regression analysis; structural engineering; PSO-ASIN method; SPSO method; arcsine function; concrete dam; dam safety monitoring; deformation monitoring model; inertia weight strategy; monitoring variable; multiple regression statistical function; standard particle swarm optimization; Concrete; Deformable models; Mathematical model; Monitoring; Particle swarm optimization; Predictive models; Safety; Modified Particle Swarm Optimization (PSO-ASIN); concrete dams; deformation; monitoring model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639887
  • Filename
    5639887