Study on Support System for Design of Composite Laminated Plate. 1st Report, Application of Genetic Algorithm and Neural Network.

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  • 複合材料積層板の設計支援システムに関する研究  第1報 遺伝的アルゴリズムとニューラルネットワークの適用
  • フクゴウ ザイリョウ セキソウバン ノ セッケイ シエン システム ニ カンス

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Abstract

Recently composite laminated plates made from the prepreg sheets of the woven fabric have been produced and used. When the materials are used, the laminated construction must be optimized to use it effectively. The purpose of this study is to propose the support system for the design of the laminated construction of the woven fabric (i.e. Carbon, Glass and Aramid). The system consists of Genetic Algorithm and Neural Network. By repeating the following two sequences, the designs that satisfied the required mechanical properties are searched. (1) The character of the laminated construction of the woven fabric that was expressed by binary number is produced according to Genetic Algorithm. (2) The fitness grade of the designs to the required properties are evaluated by Neural Network. The network has learned the pattern information which are expressed by the relationship between the codes and the mechanical properties (density and tensile strength). The several composite laminated plates which were recommended by this system were produced, and the properties of the plates were measured. As the results, it was proven that the measurements are close to the required properties, and the validity of this system was confirmed.

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