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