Optimal Design for Mechanical Properties of Composite with Combination of Genetic Algorithm and Artificial Neural Network

摘要：

　　Improved genetic algorithm,combined with artificial neural network,is present for the optimal design of 2.5D braided composite.Dispersal simulation data,including maximal stresses and elastics properties,are adopted by artificial neural network for the calculation of strength property.Based on calculation method of strength mentioned above and other calculation models for other mechanical properties,genetic algorithm is employed for the design of structure parameters of 2.5D braided composite,such as wrap fiber density,fill fiber density and interface strength.These structure optimal parameters are finally optimized for practical application.

关键词： 2.5D braided composite Optimal design Genetic algorithm Artificial neural network

作者: Fanwei Zhang Songbang Zhou Yue Zhang Dahai Zhang Zongping Li

作者单位: School of Materials Science and Engineering,Beijing University of Aeronautics and Astronautics,Beiji National Key Laboratory of Advanced Functional Composite Materials,Aerospace Research Institute of M

会议类型: 国际会议

会议名称: The Fifth China International Conference on High-Performance Ceramics (第五届先进陶瓷国际研讨会(CICC-5))

会议地点: 长沙

会议语种:英文

页码: 1645-1647

在线出版日期: 2007-05-10（万方平台首次上网日期，不代表论文的发表时间）