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Structural and Multidisciplinary Optimization
Erschienen in: Structural and Multidisciplinary Optimization 6/2017

04.01.2017 | RESEARCH PAPER

Simultaneous identification of damage and input dynamic force on the structure for structural health monitoring

verfasst von: V. Jayalakshmi, A. Rama Mohan Rao

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 6/2017

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Abstract

In this paper, we present an approach for simultaneous identification of the system parameters and the input dynamic force time history. The inverse problem associated with the system identification is formulated as an optimization problem and is solved using a newly developed dynamic hybrid adaptive firefly algorithm (DHAFA). A modified version of Tikhonov regularization is employed while solving the inverse problem associated with the force identification in order to improve the quality of the solution. Numerical simulation studies have been carried out by solving three distinct numerical examples. Studies presented in this paper indicate that the proposed algorithm is effective in identifying the system parameters as well as the input dynamic force simultaneously and can be effectively used for structural health monitoring purposes. Convergence studies presented in this paper on the newly developed dynamic hybrid firefly algorithm indicate that the proposed algorithm has better convergence characteristics and can be effectively employed for solving complex nonlinear optimization problems associated with system identification.
Vorheriger Artikel Design sensitivity analysis for transient response of non-viscously damped dynamic systems
Nächster Artikel Constrained combinatorial optimization of multi-layered composite structures by means of Stud GA with proportionate selection and extinction

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Metadaten
Titel
Simultaneous identification of damage and input dynamic force on the structure for structural health monitoring
verfasst von
V. Jayalakshmi
A. Rama Mohan Rao
Publikationsdatum
04.01.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 6/2017
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-016-1637-5

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