Finite Element Updating using Cross-Entropy Combined with Random-Field Theory

Title: Finite Element Updating using Cross-Entropy Combined with Random-Field Theory
Authors: Casero, M.
González, Arturo
Covián, E.
Permanent link: http://hdl.handle.net/10197/6224
Date: Sep-2014
Abstract: In this paper, the possibility of introducing random field theory into the cross-entropy algorithm is studied. Cross-entropy algorithm is an optimization process that Walsh and González (2009) use 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 opened. 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.
Type of material: Conference Publication
Publisher: Civil-Comp Press
Copyright (published version): 2014 Civil-Comp Press and Saxe-Coburg Publications
Keywords: Structural health;Damage assessment;Static testing;Cross-entropy method;Optimization algorithm;Random field theory;Spatial variability
DOI: 10.4203/ccp.106.119
Language: en
Status of Item: Not peer reviewed
Is part of: Topping, B.H.V. and Ivanyi, P. (eds). Proceedings of the Twelfth International Conference on Computational Structures Technology
Conference Details: The Twelfth International Conference on Computational Structures Technology (CST 2014) , Naples, Italy , 2-5 September, 2014
Appears in Collections:Civil Engineering Research Collection

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