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M. Casero¹, A. González² and E. Covián¹

¹Mieres Polytechnic School, University of Oviedo, Spain
²School of Civil, Environmental and Structural Engineering, University College Dublin, Ireland

doi:10.4203/ccp.106.119

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, "Finite Element Updating using Cross-Entropy combined with Random Field Theory", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 119, 2014. doi:10.4203/ccp.106.119

Keywords: structural health, damage assessment, static testing, cross-entropy method, optimization algorithm, random field theory, spatial variability..

Summary

In this paper, the possibility of introducing random field theory into the cross-entropy algorithm is studied. Cross-entropy algorithm is an optimization process used to estimate the stiffness distribution of a structure given a set of displacements. Although this method has been successfully tested, many lines of improvement are still open. Random field theory is incorporated into the algorithm in an attempt to account for spatial variability of stiffness throughout the structure. For this purpose, a correlation function, variable in space, is defined and, as a result, a modification of the algorithm is proposed. The modified algorithm is then tested using numerical simulations in a scenario consisting of a simply supported beam.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 106 PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: Paper 119 Finite Element Updating using Cross-Entropy combined with Random Field Theory M. Casero¹, A. González² and E. Covián¹ ¹Mieres Polytechnic School, University of Oviedo, Spain ²School of Civil, Environmental and Structural Engineering, University College Dublin, Ireland doi:10.4203/ccp.106.119 purchase the full-text of this paper Full Bibliographic Reference for this paper , "Finite Element Updating using Cross-Entropy combined with Random Field Theory", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 119, 2014. doi:10.4203/ccp.106.119 Keywords: structural health, damage assessment, static testing, cross-entropy method, optimization algorithm, random field theory, spatial variability.. Summary In this paper, the possibility of introducing random field theory into the cross-entropy algorithm is studied. Cross-entropy algorithm is an optimization process used to estimate the stiffness distribution of a structure given a set of displacements. Although this method has been successfully tested, many lines of improvement are still open. Random field theory is incorporated into the algorithm in an attempt to account for spatial variability of stiffness throughout the structure. For this purpose, a correlation function, variable in space, is defined and, as a result, a modification of the algorithm is proposed. The modified algorithm is then tested using numerical simulations in a scenario consisting of a simply supported beam. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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