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|Title:||Genetic algorithms in structural identification and damage detection|
|Authors:||Koh, C.G. |
|Source:||Koh, C.G.,Perry, M.J. (2006). Genetic algorithms in structural identification and damage detection. Intelligent Computational Paradigms in Earthquake Engineering : 316-341. ScholarBank@NUS Repository. https://doi.org/10.4018/978-1-59904-099-8.ch013|
|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. © 2007, Idea Group Inc.|
|Source Title:||Intelligent Computational Paradigms in Earthquake Engineering|
|Appears in Collections:||Staff Publications|
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