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Fundamental study on embedded crack identification by genetic algorithm and FE analysis

机译:基于遗传算法和有限元分析的嵌入式裂缝识别基础研究

摘要

Simple and sufficiently accurate fatigue crack detection technique is necessary to evaluate the fatigue performance of existing structures. Recently, measurement of two-dimensional displacement or stain distribution on the surface of plates becomes possible and this technique is considered to be applicable to estimate the initiation and propagation of embedded crack. In this study, possibility to estimate the position and size of embedded crack based on the measured surface displacement distribution by combining finite element analysis and optimization technique (Genetic Algorithm) is examined.
机译:简单,足够准确的疲劳裂纹检测技术对于评估现有结构的疲劳性能非常必要。近来,测量板表面上的二维位移或污点分布成为可能,并且该技术被认为可用于估计嵌入裂纹的产生和扩展。在这项研究中,研究了通过结合有限元分析和优化技术(遗传算法)基于测得的表面位移分布来估计嵌入裂纹的位置和大小的可能性。

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