Genetic Algorithms in Structural Identification and Damage Detection

Genetic Algorithms in Structural Identification and Damage Detection

Chan Koh (National University of Singapore, Singapore)
Copyright: © 2007 |Pages: 26
DOI: 10.4018/978-1-59904-099-8.ch013
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Abstract

Genetic algorithms (GA) have proved to be a robust, efficient search technique for many problems. In this chapter, the latest developments by the authors in the area of structural identification and structural damage detection using genetic algorithms are presented. A GA strategy involving a search space reduction method (SSRM) using a modified genetic algorithm based on migration and artificial selection (MGAMAS) is first used to identify structural properties in multiple degree-of-freedom systems. The SSRM is then incorporated in a structural damage detection strategy using response measurements both before and after damage has taken place. Numerical studies on 10 and 20 degree-of-freedom systems show that a small damage of only 2.5% can be accurately and consistently identified from incomplete acceleration measurements in the presence of 5% input and output noise.

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