摘要
采用人工神经网络的方法描述了材料在疲劳损伤过程中的性能变化,并将材料的疲劳过程看作一个离散事件,建立了既能反映累积损伤的非线性效应,又能反映材料循环特性的疲劳损伤累积模型.通过将估算结果与实验值的比较,证明该方法有效地提高了寿命估算精度.
An Artificial Neural Network model was built to describe the property alteration of a material in fatigue damage process. Material fatigue was dealt with as a discrete events system. A fatigue damage model was constructed which embodyies the nonlinear damage accumulation progress and reflect the cyclic property of material. Compared with the test data,it proves that the fatigue damage model proposed is better than the others.
出处
《东北大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
1998年第3期302-305,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金
关键词
人工神经网络
疲劳寿命
结构
材料
计算机仿真
artificial neural network,fatigue life predicting,computer simulation.