| 神经网络改进算法在应力集中问题中的应用 |
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| 引用本文： | 罗吉安,刘泽功.神经网络改进算法在应力集中问题中的应用[J].机械设计与制造,2006(4):61-63. |
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| 作者姓名： | 罗吉安 刘泽功 |
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| 作者单位： | 安徽理工大学,淮南,232001 |
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| 摘 要： | 在实际机器零件和结构构件中应力集中现象是一种很常见的灾害现象,它的存在直接威胁着生产的安全,因此应力集中处的最大应力是值得我们研究的重要课题。这里应用神经网络BP改进算法,根据应力集中点附近的三点应变值,建立应力集中点的网络模型,来确定应力集中点的最大应力值。实例计算表明,用神经网络改进算法预测应力集中点的最大应力值是有效可行的。
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| 关 键 词： | 应力集中 神经网络BP算法 最大应力值 |
| 文章编号： | 1001-3997(2006)04-0061-03 |
| 收稿时间： | 2005-06-21 |
| 修稿时间： | 2005年6月21日 |
The use of improved neural method in stress concentration ploblems |
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| LUO Ji-an,LIU Ze-gong.The use of improved neural method in stress concentration ploblems[J].Machinery Design & Manufacture,2006(4):61-63. |
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| Authors: | LUO Ji-an LIU Ze-gong |
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| Affiliation: | Anhui University of Science an Technology, Huainan 221003, Chian |
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| Abstract: | The stress concentration is a kind of dynamic and instable phenomenon in machine parts and structure parts. Its existence threatens the safety directly, so the maximum value near the stress concentration point is one of the most important issues in our studies. In this paper, the author tries to use the improved neural network method to determine the maximum stress value by establishing the network model of the maximum stress concentration on the basis of strains at three points near the stress concentration point. Numerical results show that it is efficient and reliable to use the improved neural network method for determine the maximum stress of the concentration point. |
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| Keywords: | Stress concentration Neural network BP method Maximum stress |
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