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
Link To Document :
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