An application of genetic algorithms and direct search methods to crack parameters identification in electromagnetic non-destructive testing

被引：0
|
作者：
Dolapchiev, Ivaylo [1 ]
机构：
[1] Tech Univ Sofia, Dept Elect Engn, Sofia 1000, Bulgaria
来源：
ADVANCED TOPICS ON EVOLUTIONARY COMPUTING | 2008年
关键词：
inverse problems; FEM; GA; MADS; potential-drop NDT;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents some results from the inverse problem solution, based on the application of genetic algorithm (GA) and mesh adaptive search (MADS) technique. The investigation is directed to the identification of defects in metallic structures by means of electromagnetic Non-destructive Testing (NDT) methods. The proposed solution scheme uses rough identification procedure (RIP) and finite element method (FEM) as forward problem solver. The validity of the approach is tested with information acquired from numerical and physical experiments.
引用
收藏
页码：45 / 50
页数：6
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