Structural identification and damage detection using genetic algorithms /
Koh, Chan Ghee.
Structural identification and damage detection using genetic algorithms / Chan Ghee Koh and Michael John Perry. - xii, 146 pages : illustrations ; 26 cm. - Structures and infrastructures series, v. 6 1747-7735 ; .
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.
9780415461023 (hardcover : alk. paper) 9780203859438 (ebook)
2009038174
Structural analysis (Engineering)--Mathematics.
Fault location (Engineering)--Mathematics.
Genetic algorithms.
TA646 / .K56 2010
624.1710151962 / K.C.S
Structural identification and damage detection using genetic algorithms / Chan Ghee Koh and Michael John Perry. - xii, 146 pages : illustrations ; 26 cm. - Structures and infrastructures series, v. 6 1747-7735 ; .
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.
9780415461023 (hardcover : alk. paper) 9780203859438 (ebook)
2009038174
Structural analysis (Engineering)--Mathematics.
Fault location (Engineering)--Mathematics.
Genetic algorithms.
TA646 / .K56 2010
624.1710151962 / K.C.S