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논문 기본 정보

자료유형
학술저널
저자정보
Yun, Gun Jin (Department of Civil Engineering, University of Akron) Ogorzalek, Kenneth A. (Department of Civil Engineering, University of Wisconsin-Milwaukee) Dyke, Shirley J. (Department of Mechanical, Aerospace and Structural Engineering, Washington University) Song, Wei (Department of Mechanical, Aerospace and Structural Engineering, Washington University)
저널정보
테크노프레스 Smart structures and systems Smart structures and systems 제5권 제1호
발행연도
2009.1
수록면
1 - 21 (21page)

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A two-stage damage detection method is proposed and demonstrated for structural health monitoring. In the first stage, the subset selection method is applied for the identification of the multiple damage locations. In the second stage, the damage severities of the identified damaged elements are determined applying SSGA to solve the optimization problem. In this method, the sensitivities of residual force vectors with respect to damage parameters are employed for the subset selection process. This approach is particularly efficient in detecting multiple damage locations. The SEREP is applied as needed to expand the identified mode shapes while using a limited number of sensors. Uncertainties in the stiffness of the elements are also considered as a source of modeling errors to investigate their effects on the performance of the proposed method in detecting damage in real-life structures. Through a series of illustrative examples, the proposed two-stage damage detection method is demonstrated to be a reliable tool for identifying and quantifying multiple damage locations within diverse structural systems.

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