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Structural identification and damage detection using genetic algorithms / Chan Ghee Koh and Michael John Perry.

By: Contributor(s): Material type: TextTextSeries: Structures and infrastructures series ; v. 6Boca Raton ; New york : CRC Press, [2010]©2010 Description: xii, 146 pages : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780415461023 (hardcover : alk. paper)
  • 9780203859438 (ebook)
Subject(s): DDC classification:
  • 624.1710151962 22 K.C.S
LOC classification:
  • TA646 .K56 2010
Contents:
1. Introduction 1.1 Modelling and Simulation of Dynamic Systems 1.2 Structural Identification and Damage Detection 1.3 Overview of Structural Identification Methods 2. A Primer to Genetic Algorithms 2.1 Background to GA 2.2 A Simple GA 2.3 Theoretical Framework 2.4 Advances in GAs 2.5 Chapter Summary 3. An Improved GA Strategy 3.1 SSRM 3.2 iGAMAS 3.3 Chapter Summary 4. Structural Identification by GA 4.1 Applying GA to Structural Identification 4.2 Identification of MDOF Systems Using SSRM 4.3 Chapter Summary 5. Output-Only Structural Identification 5.1 Modification of the Identification strategy 5.2 Numerical Study 5.3 Seismic Example 5.4 Chapter Summary 6. Structural Damage Detection 6.1 Damage Detection Strategy 6.2 Verification of Strategy Using Simulated Data 6.3 Chapter Summary 7. Experimental Verification Study7.1 Preliminary Calculations and Testing 7.2 Main Identification Tests 7.3 Experimental Identification Results 7.4 Output-Only Identification 7.5 Chapter Summary 8. Substructure Methods of Identification 8.1 Substructural Identification 8.2 Numerical Examples 8.3 Chapter Summary References, Appendix, Index
Summary: Robust and efficient methods have successfully been developed on the basis of genetic algorithms (GA). This title presents the development of the GA-based identification strategy. It focuses on structural identification problems with limited and noise contaminated measurements.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Books Books Main library B4 Faculty of Engineering & Technology (Structural) 624.1710151962 K.C.S (Browse shelf(Opens below)) Available 00009696

Includes bibliographical references (p. [125]-130) and index.

1. Introduction 1.1 Modelling and Simulation of Dynamic Systems 1.2 Structural Identification and Damage Detection 1.3 Overview of Structural Identification Methods 2. A Primer to Genetic Algorithms 2.1 Background to GA 2.2 A Simple GA 2.3 Theoretical Framework 2.4 Advances in GAs 2.5 Chapter Summary 3. An Improved GA Strategy 3.1 SSRM 3.2 iGAMAS 3.3 Chapter Summary 4. Structural Identification by GA 4.1 Applying GA to Structural Identification 4.2 Identification of MDOF Systems Using SSRM 4.3 Chapter Summary 5. Output-Only Structural Identification 5.1 Modification of the Identification strategy 5.2 Numerical Study 5.3 Seismic Example 5.4 Chapter Summary 6. Structural Damage Detection 6.1 Damage Detection Strategy 6.2 Verification of Strategy Using Simulated Data 6.3 Chapter Summary 7. Experimental Verification Study7.1 Preliminary Calculations and Testing 7.2 Main Identification Tests 7.3 Experimental Identification Results 7.4 Output-Only Identification 7.5 Chapter Summary 8. Substructure Methods of Identification 8.1 Substructural Identification 8.2 Numerical Examples 8.3 Chapter Summary References, Appendix, Index

Robust and efficient methods have successfully been developed on the basis of genetic algorithms (GA). This title presents the development of the GA-based identification strategy. It focuses on structural identification problems with limited and noise contaminated measurements.

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