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An Application of Genetic Algorithms and Direct Search Methods to Crack Parameters Identification in Electromagnetic Non-destructive Testing

机译:遗传算法和直接搜索方法在电磁非破坏性测试中裂解参数识别的应用

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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.
机译:本文提出了诸如遗传算法(GA)和网格自适应搜索(MADS)技术的应用的反问题解决方案的结果。 该调查旨在通过电磁非破坏性测试(NDT)方法识别金属结构中的缺陷。 所提出的解决方案方案使用粗略识别程序(RIP)和有限元方法(FEM)作为前向问题求解器。 通过从数值和物理实验获得的信息测试方法的有效性。

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