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  5. Experimental Testing of a Cross-Entropy Algorithm to Detect Damage
 
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Experimental Testing of a Cross-Entropy Algorithm to Detect Damage

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Author(s)
González, Arturo 
Covián, E. 
Casero, Miguel 
Cooper, John 
Uri
http://hdl.handle.net/10197/6228
Date Issued
July 2013
Date Available
11T12:54:19Z December 2014
Abstract
Cross-entropy optimization has recently been applied to the damage detection in structures subject to static loading. The optimization procedure minimizes the error between the measured deflection data and theoretical deflection data obtained from artificially generated finite element models based on assumed statistical distributions of stiffness for each discretized element. Following a number of iterations, the finite element model with stiffness properties producing deflections closer to reality is established as the mathematical model closest to the true structure. However, while previous testing of the algorithm has been relatively successful, it has been limited to theoretical simulations. Therefore, this paper conducts lab experiments on a beam loaded statically to test the accuracy of the algorithm. Deflections are measured for beam scenarios under different loading levels. The accuracy of the results is discussed and recommendations are made to improve the performance of the algorithm when implemented in practice.
Other Sponsorship
Programa Nacional de Proyectos de Investigación Fundamental, from the VI Plan Nacional de Investigación Científica, Desarrollo e Innovación Tecnológica 2008-2011. Spanish Goverment
Type of Material
Journal Article
Publisher
Trans Tech Publications
Journal
Key Engineering Materials
Volume
569-570
Start Page
1170
End Page
1178
Copyright (Published Version)
2013 Trans Tech Publications
Keywords
  • Damage assessment

  • Static testing

  • Optimization

  • Finite element modeli...

DOI
10.4028/www.scientific.net/KEM.569-570.1170
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Civil Engineering Research Collection
Scopus© citations
6
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Feb 6, 2023
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