Identification of bridge structures using genetic algorithms = 유전자 알고리즘을 이용한 교량의 구조계수 규명

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In this study, a structural identification method is developed for bridges using genetic algorithms, and it is applied to the finite element model updating and damage estimation of a plate girder bridge. Structural identification has increasingly become an important research topic in conjunction with damage assessment and safety evaluation of existing structures. The proposed method using genetic algorithms uses only the payoff information, not derivatives or other auxiliary knowledge as in the conventional methods. Moreover, the present method may give the better estimate, which is not related to the local minimum of the error criteria function. In this study, the averaged normalized frequency response function modulus is used for estimating the natural frequencies from the acceleration data measured at many different locations. The numerical simulation study on a grid structure indicates that the proposed method using genetic algorithms can identify the damage locations and severities very well. The grouping approach used to reduce the number of the unknowns in each identification process is founded to be very effective. The results of the experimental study on a plate girder bridge indicate that the present method can provide a better finite element model than the initial model constructed from the design drawings and the locations of the damaged members with relatively large inflicted damages can be reasonably identified.
Advisors
Yun, Chung-Bangresearcher윤정방researcher
Description
한국과학기술원 : 토목공학과,
Publisher
한국과학기술원
Issue Date
2001
Identifier
165545/325007 / 000983312
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 토목공학과, 2001.2, [ vi, 75 p. ]

Keywords

Grouping Method; Averaged Normalized Frequency Response Function Modulus [AN FRF modulus]; Genetic Algorithms; Structural Identification; Gillage Method; 격자 방법; 그룹 방법; 주파수응답함수; 유전자 알고리즘; 구조계수 규명

URI
http://hdl.handle.net/10203/31034
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=165545&flag=dissertation
Appears in Collection
CE-Theses_Master(석사논문)
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