| 基于BP神经网络的复合材料失效分析 |
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| 引用本文： | 裴金利,陈秀华,汪海.基于BP神经网络的复合材料失效分析[J].航空计算技术,2009,39(2):29-32. |
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| 作者姓名： | 裴金利 陈秀华 汪海 |
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| 作者单位： | 1. 上海交通大学船舶海洋与建筑工程学院,上海,200240
2. 上海交通大学航空航天学院,上海,200240 |
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| 摘 要： | 创建了基于BP神经网络方法预测复合材料在复杂应力状态下的失效模型.依据现有的试验数据,建立了基于BP神经网络的数学模型,并给出了网络在多次训练的统计性评价参数.以及单次样本泛化性能的评价参数,并利用这些参数实现了网络的结构优化和训练优化,得到了比较精确的网络模型,成功预测了复合材料的失效数据,拓宽了计算复合材料失效的范围,同时可以对复合材料的失效分析和试验设计进行指导.
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| 关 键 词： | 复合材料 BP神经网络 失效分析 结构优化 训练优化 |
Failure Analysis of Composites Based on Back Propagation Neutral Network |
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| PEI Jin-li,CHEN Xiu-hua,WANG Hai.Failure Analysis of Composites Based on Back Propagation Neutral Network[J].Aeronautical Computer Technique,2009,39(2):29-32. |
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| Authors: | PEI Jin-li CHEN Xiu-hua WANG Hai |
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| Institution: | 1.School of Naval Architecture;Ocean and Civil Engineering;Shanghai Jiaotong University;Shanghai 200240;China;2.School of Aeronautics and Astronautics;China |
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| Abstract: | The model based on back propagation neutral network(BP) is constructed which is used to predict the failure of composites under combined load.Depending on existing experimental data,mathematical model is built,and the estimation parameters for both statistical and single data sample are introduced to evaluate the performance of BP neural network,at the same time,we utilize those parameters to complete structural optimization and training optimization,which promote the accuracy of the network.The experience ... |
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| Keywords: | composites BP neural network failure analysis structural optimization training optimization |
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