Structural Identification and Damage Detection using Genetic Algorithms / Edition 1

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More About This Textbook


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.

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Product Details

  • ISBN-13: 9780415461023
  • Publisher: Taylor & Francis
  • Publication date: 12/7/2009
  • Series: Structures and Infrastructures Series, #6
  • Edition number: 1
  • Pages: 140
  • Product dimensions: 6.90 (w) x 9.80 (h) x 0.60 (d)

Table of Contents

Editorial VII

About the Book Series Editor IX

Preface XI

Dedication XIII

About the Authors XV

1 Introduction 1

1.1 Modelling and Simulation of Dynamic Systems 2

1.2 Structural Identification and Damage Detection 3

1.3 Overview of Structural Identification Methods 3

2 A Primer to Genetic Algorithms 15

2.1 Background to GA 15

2.2 A Simple GA 17

2.3 Theoretical Framework 22

2.4 Advances in GAs 24

2.5 Chapter Summary 27

3 An Improved GA Strategy 29

3.1 SSRM 30

3.2 iGAMAS 34

3.3 Chapter Summary 43

4 Structural Identification by GA 45

4.1 Applying GA to Structural Identification 46

4.2 Identification of MDOF Systems Using SSRM 48

4.3 Chapter Summary 61

5 Output-Only Structural Identification 63

5.1 Modification of the Identification Strategy 64

5.2 Numerical Study 66

5.3 Seismic Example 71

5.4 Chapter Summary 73

6 Structural Damage Detection 75

6.1 Damage Detection Strategy 75

6.2 Verification of Strategy Using Simulated Data 77

6.3 Chapter Summary 81

7 Experimental Verification Study 83

7.1 Preliminary Calculations and Testing 83

7.2 Main Identification Tests 88

7.3 Experimental Identification Results 94

7.4 Output-Only Identification 103

7.5 Chapter Summary 110

8 Substructure Methods of Identification 113

8.1 Substructural Identification 113

8.2 Numerical Examples 119

8.3 Chapter Summary 122

References 125

Appendix 131

Subject Index 143

Structures and Infrastructures Series 147

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