Structural Identification and Damage Detection using Genetic Algorithms

Structures and Infrastructures Book Series, Vol. 6

Chan Ghee Koh, Michael J. Perry (Autoren)

Buch | Softcover

140 Seiten

2017
CRC Press (Verlag)
978-1-138-11192-9 (ISBN)

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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.

Chan Ghee Koh, Michael J. Perry,

1. Introduction; 2. A Primer to Genetic Algorithms; 3. An Improved GA Strategy; 4. Structural Identification by GA; 5. Output-Only Structural Identification; 6. Structural Damage Detection; 7. Experimental Verification Study; 8. Substructure Methods of Identification; References, Appendix, Index.

Erscheinungsdatum	04.07.2017
Reihe/Serie	Structures and Infrastructures
Verlagsort	London
Sprache	englisch
Maße	174 x 246 mm
Gewicht	453 g
Themenwelt	Technik ► Bauwesen
	Technik ► Bergbau
	Technik ► Umwelttechnik / Biotechnologie
ISBN-10	1-138-11192-9 / 1138111929
ISBN-13	978-1-138-11192-9 / 9781138111929
Zustand	Neuware