• DocumentCode
    3726704
  • Title

    Computational Intelligence for Structural Identifications

  • Author

    Abdullah Al-Hussein;Achintya Haldar

  • Author_Institution
    Dept. of Civil Eng. &
  • fYear
    2015
  • Firstpage
    1844
  • Lastpage
    1851
  • Abstract
    Structural health assessment using the structural identification concept using measured dynamic response information in time domain was considered to be not possible in the late seventies. With the help of comprehensive analytical and laboratory investigations, the research team at the University of Arizona conclusively documented that the above statement is not correct. In fact, they showed that the concept has several advantages over other available methods. Considering the implementation potential, the concept appeared to be very desirable. The team proposed several intelligent schemes to address many challenges. They used mathematical concepts used in other disciplines, extensively modified them and proposed few novel concepts. Some of them are briefly presented in this paper and their novelties are described with the help of several informative examples. The concepts presented in the paper cross the disciplinary boundaries and showcase benefits of computational intelligence.
  • Keywords
    "Pollution measurement","Finite element analysis","Silicon","Time measurement","Damping","Noise measurement","History"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, 2015 IEEE Symposium Series on
  • Print_ISBN
    978-1-4799-7560-0
  • Type

    conf

  • DOI
    10.1109/SSCI.2015.257
  • Filename
    7376834