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      Structural Identification and Damage Detection using Genetic Algorithms
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      Structural Identification and Damage Detection using Genetic Algorithms

      DOI link for Structural Identification and Damage Detection using Genetic Algorithms

      Structural Identification and Damage Detection using Genetic Algorithms book

      Structures and Infrastructures Book Series, Vol. 6

      Structural Identification and Damage Detection using Genetic Algorithms

      DOI link for Structural Identification and Damage Detection using Genetic Algorithms

      Structural Identification and Damage Detection using Genetic Algorithms book

      Structures and Infrastructures Book Series, Vol. 6
      ByChan Ghee Koh, Michael J. Perry
      Edition 1st Edition
      First Published 2009
      eBook Published 7 December 2009
      Pub. Location London
      Imprint CRC Press
      DOI https://doi.org/10.1201/9780367806187
      Pages 140
      eBook ISBN 9780367806187
      Subjects Engineering & Technology
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      Koh, C.G., & Perry, M.J. (2009). Structural Identification and Damage Detection using Genetic Algorithms: Structures and Infrastructures Book Series, Vol. 6 (1st ed.). CRC Press. https://doi.org/10.1201/9780367806187

      ABSTRACT

      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.




       

      TABLE OF CONTENTS

      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.

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