| 基于复合形与神经网络的机翼结构优化设计 |
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| 引用本文： | 王伟,赵美英,赵锋,万小朋.基于复合形与神经网络的机翼结构优化设计[J].强度与环境,2006,33(4):44-48. |
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| 作者姓名： | 王伟 赵美英 赵锋 万小朋 |
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| 作者单位： | 1. 西北工业大学航空学院,西安710072
2. 西北工业大学自动化学院,西安,710072 |
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| 摘 要： | 从元件位置和元件尺寸两个方面考虑,提出了一种全局结构优化设计方法。利用NASTRAN完成尺寸优化,利用神经网络对NASTRAN优化结果进行映射,用复合形法进行位置寻优,最终完成了机翼结构的优化。算例表明利用神经网络来预测NASTRAN优化结果有较高的精度与适用性,本文所提方法可行、正确,具有很高的效率。
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| 关 键 词： | 复合形 神经网络 结构优化 |
| 文章编号： | 1006-3919(2006)04-0044-05 |
| 收稿时间： | 2006-04-03 |
| 修稿时间： | 2006-06-26 |
Structure design optimization of the wing based on neural networks and complex method |
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| WANG Wei,ZHAO Mei-ying,ZHAO Feng,WAN Xiao-peng.Structure design optimization of the wing based on neural networks and complex method[J].Structure & Environment Engineering,2006,33(4):44-48. |
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| Authors: | WANG Wei ZHAO Mei-ying ZHAO Feng WAN Xiao-peng |
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| Abstract: | From the thinking of both position variables and size variables,a global method that can solve the optimization problems was present in this paper.Letting the NASTRAN optimize the size variables,using the neural network to predict the calculated result of the NASTRAN,and this paper went on to optimize the position variables with the complex method.The example shows the structural optimization method that use Neural Networks to predict the result of the NASTRAN has high precision and adaptability.this method is not only correct and feasible,but highly effective and practically convenient. |
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| Keywords: | complex method neural network optimization of structural |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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