Structural Damage Detection by Genetic Algorithms

AIAA Journal ◽  
2002 ◽  
Vol 40 (7) ◽  
pp. 1395-1401 ◽  
Author(s):  
Kaazem Moslem ◽  
Ramin Nafaspour
Keyword(s):  
Genetic Algorithms ◽  
Damage Detection ◽  
Structural Damage ◽  
Structural Damage Detection

Genetic Algorithms in Structural Identification and Damage Detection

2007 ◽  
pp. 316-341 ◽  
Author(s):  
Chan Koh
Keyword(s):  
Genetic Algorithms ◽  
Damage Detection ◽  
Structural Damage ◽  
Structural Identification ◽  
Search Space ◽  
Degree Of Freedom ◽  
Structural Damage Detection ◽  
Space Reduction ◽  
Numerical Studies ◽  
Before And After

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.

Structural damage detection by genetic algorithms

AIAA Journal ◽  
2002 ◽  
Vol 40 ◽  
pp. 1395-1401 ◽  
Author(s):  
K. Moslem ◽  
R. Nafaspour
Keyword(s):  
Genetic Algorithms ◽  
Damage Detection ◽  
Structural Damage ◽  
Structural Damage Detection
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