Structural Identification and Damage Detection using Genetic Algorithms

Perry Michael J. Koh Chan Ghee

ISBN 10: 0415461022 / ISBN 13: 9780415461023

Editore: Taylor & Francis Group, 2009

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pp. 140 This item is printed on demand.

Codice articolo 8139585

Dati bibliografici

• Titolo: Structural Identification and Damage Detection using Genetic Algorithms
• Editore: Taylor & Francis Group
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 0415461022
• ISBN 13: 9780415461023
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

Rapid advances in computational methods and computer capabilities have led to a new generation of structural identification strategies. Robust and efficient methods have successfully been developed on the basis of genetic algorithms (GA). This volume presents the development of a novel GA-based identification strategy that contains several advantageous features compared to previous methods. Focusing on structural identification problems with limited and noise contaminated measurements; it provides insight into the effects of various identification parameters on the identification accuracy for systems with known mass. It then proposes a generalization for systems with unknown mass, stiffness and damping properties. The GA identification strategy is subsequently extended for structural damage detection. The findings of the output-only strategy and substructural identification represent a great leap forward from the practical point of view. This book is intended for researchers, engineers and graduate students in structural and mechanical engineering, particularly for those interested in model calibration, parameter estimation and damage detection of structural and mechanical systems using the state-of-the-art GA methodology.

Informazioni sull?autore

Chan Ghee Koh, Michael J. Perry,