Structural Identification and Damage Detection using Genetic Algorithms 1st Edition by Chan Ghee Koh – Ebook PDF Instant Download/Delivery: 041587629X, 9780415876292
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ISBN 10: 041587629X
ISBN 13: 9780415876292
Author: Chan Ghee Koh
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.
Structural Identification and Damage Detection using Genetic Algorithms 1st Table of contents:
PART I: Introduction and Fundamentals
1 Introduction to Structural Identification
2 Basics of Damage Detection
3 Overview of Genetic Algorithms
PART II: Genetic Algorithms in Structural Engineering
4 Encoding and Representation of Structural Models
5 Fitness Functions and Objective Criteria
6 Selection, Crossover, and Mutation Operators
PART III: Applications to Structural Identification
7 Identification of Structural Parameters
8 Model Updating Techniques
9 Case Studies in Structural Identification
PART IV: Applications to Damage Detection
10 Damage Detection Strategies
11 Using Genetic Algorithms for Damage Localization
12 Damage Severity Assessment
PART V: Advanced Topics and Future Directions
13 Hybrid Approaches Combining GA with Other Techniques
14 Optimization Challenges and Solutions
15 Future Trends in Structural Health Monitoring
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