| 基于神经网络的疲劳裂纹扩展率的初步估算 |
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| 引用本文： | 王珉,郎福元,龚俊,李建华,刘展.基于神经网络的疲劳裂纹扩展率的初步估算[J].兰州理工大学学报,2001,27(4):29-32. |
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| 作者姓名： | 王珉 郎福元 龚俊 李建华 刘展 |
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| 作者单位： | 1. 甘肃工业大学机电工程学院,
2. 甘肃省质量技术监督局, |
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| 摘 要： | 采用基于神经网络的方法对压力容器疲劳裂纹扩展公式（Ｐａｒｉｓ公式）中的两个材料常数进行了估算，用人工神经网络建立一个学习系统，以获得各种材料的疲劳裂纹扩展率．通过计算和实验数据的比较，证明了利用神经网络进行疲劳裂纹扩展率的估算是可行的．
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| 关 键 词： | 疲劳裂纹扩展 人工神经网络 Paris公式 压力容器 |
| 文章编号： | 1000-5889(2001)04-0029-04 |
| 修稿时间： | 2000年11月27 |
Preliminary estimation of propagation rate of fatigue crack by means of neural network |
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| WANG Min,LANG Fu-yuan,GONG Jun,LI Jian-hua,LIU Zhan.Preliminary estimation of propagation rate of fatigue crack by means of neural network[J].Journal of Lanzhou University of Technology,2001,27(4):29-32. |
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| Authors: | WANG Min LANG Fu-yuan GONG Jun LI Jian-hua LIU Zhan |
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| Abstract: | Two materials constants occurred within the formula of fatigue crack propagation rate of pres- sure vessels (Paris-Formula) are estimated by using the neural network method, where a learning system is established by means of artificial neural network to obtain readily the propagation rates of fatigue crack within various materials. It is verified through comparison between the computation and experimental data that the method presented is feasible for the estimation of fatigue crack propagation rate. |
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| Keywords: | fatigue crack propagation artificial neural network Paris-Formula pressure vessel |
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