Structural Identification Using Genetic Algorithm

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  • 遺伝的アルゴリズムを用いた構造同定
  • イデンテキ アルゴリズム オ モチイタ コウゾウ ドウテイ

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Abstract

The combined method of Genetic Algorithm (GA) and neural network (NN) is applied to the defect identification problem for structures. As for NN, the most frequently used multilayer network and backpropagation algorithm are adopted. GA is utilized for minimization of the error function in backpropagation algorithm. For a simple plate structure, by using lower eigenmodes obtained from the finite element model, the identification of the defect element which has different value of Young's modulus from other elements is shown to be possible to some degree.

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