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Open AccessArticle

A Probabilistic Damage Identification Method for Shear Structure Components Based on Cross-Entropy Optimizations

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Siemens Corporation, Corporate Technology, 755 College Rd E., Princeton, NJ 08540, USA
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Department of Civil Engineering & Engineering Mechanics, Columbia University, New York, NY 10027, USA
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School of Reliability and Systems Engineering, Beihang University, 37 Xueyuan Rd., Beijing 100083, China
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Author to whom correspondence should be addressed.
Academic Editor: Kevin H. Knuth
Entropy 2017, 19(1), 27; https://doi.org/10.3390/e19010027
Received: 10 October 2016 / Revised: 4 January 2017 / Accepted: 6 January 2017 / Published: 17 January 2017
A probabilistic damage identification method for shear structure components is presented. The method uses the extracted modal frequencies from the measured dynamical responses in conjunction with a representative finite element model. The damage of each component is modeled using a stiffness multiplier in the finite element model. By coupling the extracted features and the probabilistic structural model, the damage identification problem is recast to an equivalent optimization problem, which is iteratively solved using the cross-entropy optimization technique. An application example is used to demonstrate the proposed method and validate its effectiveness. Influencing factors such as the location of damaged components, measurement location, measurement noise level, and damage severity are studied. The detection reliability under different measurement noise levels is also discussed in detail. View Full-Text
Keywords: damage identification; probabilistic; cross-entropy optimization; shear structure; structural health monitoring damage identification; probabilistic; cross-entropy optimization; shear structure; structural health monitoring
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Guan, X.; Wang, Y.; He, J. A Probabilistic Damage Identification Method for Shear Structure Components Based on Cross-Entropy Optimizations. Entropy 2017, 19, 27.

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