DocumentCode :
2459546
Title :
An Adaptive Chromosome Technique of Genetic Algorithms to Identify Structural Damage
Author :
Pan, Dan-Guang ; Lei, Su-Su ; Wu, Shun-Chuan
Author_Institution :
Dept. of Civil Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2010
fDate :
17-19 Dec. 2010
Firstpage :
482
Lastpage :
486
Abstract :
In order to identify the damage location and extent of large-scale civil engineering structures, an adaptive chromosome technique of genetic algorithms (GA) is proposed. The technique utilizes real number coding to design chromosomes, each damage element is described by such a gene pair that includes damage element number and damage extent. Then, the individual chromosome will increase one pair of gene in the next cycle of GA. It will not present new damage elements unless the number of gene pairs of chromosomes exceed the real number of damage elements. The actual damage element would be coincided for the converged chromosomes of adjacent iteration steps of GA, which is used to decide damage locations and damage extents. The main advantage of the method is that the length of individual chromosome is only decided by the number of damage elements, but nothing to do with the total number of structure elements. Thus, it reduces the number of design genes and makes the GA converge fast. At last, a numerical example of 10-bar truss shows that the method can accurately identify the damage location, with less error of damage extent estimation.
Keywords :
condition monitoring; genetic algorithms; structural engineering; GA; adaptive chromosome technique; damage extent estimation; damage locations; genetic algorithms; largescale civil engineering structures; structural damage identification; Biological cells; Encoding; Finite element methods; Frequency measurement; Gallium; Optimization; Vibrations; adaptive chromosome; estimation of damage; genetic algorithms; locating damage; structures of civil engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
Type :
conf
DOI :
10.1109/ICCIS.2010.125
Filename :
5709129
Link To Document :
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