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Title: Optimization algorithms for system integration
Authors: Papadimitriou, Costas
Ntotsios, Evangelos
Keywords: Bayesian inference
Damage detection
Information entropy
Optimal sensor location
Structural dynamics
Structural identification
Issue Date: 2008
Publisher: © Trans Tech Publications
Citation: PAPADIMITRIOU, C. and NTOTSIOS, E., 2008. Optimization algorithms for system integration. IN: Vincenzini, P. and Casciati, F. (eds). Emboding Intelligence in Structures and Integrated Systems: Proceedings of CIMTEC 2008, 8th-13th June 2008, Sicily, pp. 514 - 523.
Series/Report no.: Advances in Science and Technology;56
Abstract: This work outlines the optimization algorithms involved in integrating system analysis and measured data collected from a network of sensors. The integration is required for structural health monitoring problems arising in structural dynamics and related to (1) model parameter estimation used for finite element model updating, (2) model-based damage detection in structures and (3) optimal sensor location for parameter estimation and damage detection. These problems are formulated as single- and multi-objective optimization problems of continuous or discrete-valued variables. Gradient-based, evolutionary, hybrid and heuristic algorithms are presented that effectively address issues related to the estimation of multiple local/global solutions and computational complexity arising in single and multi-objective optimization involving continuous and discrete variables.
Description: This conference paper was published in the journal, Advances in Science and Technology [© Trans Tech Publications]. The definitive version is available at: http://www.scientific.net/AST.56.514
Version: Accepted for publication
DOI: 10.4028/www.scientific.net/AST.56.514
URI: https://dspace.lboro.ac.uk/2134/10775
Publisher Link: http://www.scientific.net/AST.56.514
ISBN: 9783908158226
ISSN: 1662-8969
Appears in Collections:Conference Papers (Civil and Building Engineering)

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