CANMF8_Papadimitriou_final.pdf (320.63 kB)
Optimization algorithms for system integration
conference contributionposted on 2012-10-25, 11:13 authored by Costas Papadimitriou, Evangelos Ntotsios
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.
- Architecture, Building and Civil Engineering
CitationPAPADIMITRIOU, 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.
Publisher© Trans Tech Publications
- AM (Accepted Manuscript)
NotesThis 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
Book seriesAdvances in Science and Technology;56