• DocumentCode
    510124
  • Title

    Genetic Algorithm in Vulnerability Evaluation

  • Author

    Zheng-ru Tao ; Xia-xin Tao

  • Author_Institution
    Inst. of Eng. Mech., China Earthquake Adm., Beijing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    392
  • Lastpage
    396
  • Abstract
    Seismic hazard analysis and vulnerability evaluation are two parts of seismic risk assessment. The form of the vulnerability evaluation procedure in HAZUS99, which is widely adopted in US and world wide, is taken as reference. A hybrid approach integrated the Simplex with the Generic Algorithm is adopted to inverse the parameters of capacity curve and fragility curve from the earthquake damage matrix of local buildings. A ground motion parameter based vulnerability evaluation approach is developed. Thus, it is easy to calculate building vulnerability for a given demand spectra. To illustrate and validate the approach, all parameters are inversed from a typical vulnerability matrix of multi-story masonry building.
  • Keywords
    building; earthquakes; genetic algorithms; hazards; matrix algebra; risk analysis; seismology; building vulnerability; capacity curve; earthquake damage matrix; fragility curve; generic algorithm; genetic algorithm; ground motion parameter; multi-story masonry building; seismic hazard analysis; seismic risk assessment; simplex algorithm; vulnerability evaluation; Algorithm design and analysis; Artificial intelligence; Buildings; Computational intelligence; Earthquake engineering; Genetic algorithms; Genetic engineering; Hazards; Risk analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.340
  • Filename
    5376239