节点文献
基于神经网络的疲劳裂纹扩展率的初步估算
Preliminary estimation of propagation rate of fatigue crack by means of neural network
【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.
【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.
【关键词】 疲劳裂纹扩展;
人工神经网络;
Paris公式;
压力容器;
【Key words】 fatigue crack propagation; artificial neural network; Paris-Formula; pressure vessel;
【Key words】 fatigue crack propagation; artificial neural network; Paris-Formula; pressure vessel;
- 【文献出处】 甘肃工业大学学报 ,Journal of Gansu University of Technology , 编辑部邮箱 ,2001年04期
- 【分类号】TP183
- 【被引频次】7
- 【下载频次】102