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基于神经网络的材料非稳态疲劳损伤可靠性研究
引用本文:易当祥,吕国志. 基于神经网络的材料非稳态疲劳损伤可靠性研究[J]. 海军工程大学学报, 2005, 17(2): 67-71
作者姓名:易当祥  吕国志
作者单位:西北工业大学,航空学院,陕西,西安,710072
摘    要:
疲劳累积损伤是一个非稳态能耗过程,可以用遗传算法优化后的3层2 7 1BP神经网络来描述疲劳损伤的非线关系,经仿真验证表明,该神经网络具有较高的精度和泛化能力.通过对材料疲劳损伤临界值和载荷的分散性的分析研究,建立了疲劳失效动态准则,并运用蒙特卡罗随机抽样法对材料疲劳寿命的可靠性进行了仿真验证;对调质45号钢在随机载荷和2级载荷作用下,进行了疲劳寿命可靠性仿真计算,仿真结果与实验结果和理论分析比较吻合.

关 键 词:疲劳损伤  疲劳寿命  可靠性  神经网络  遗传算法
文章编号:1009-3486(2005)02-0067-05
修稿时间:2004-10-27

Reliability analysis for fatigue damage of unsteady materials based on neural networks
YI Dang-xiang,U Guo-zhi. Reliability analysis for fatigue damage of unsteady materials based on neural networks[J]. Journal of Naval University of Engineering, 2005, 17(2): 67-71
Authors:YI Dang-xiang  U Guo-zhi
Abstract:
The fatigue accumulativedamage is an unsteady process. Three-layer 2-7-1 BP network, which has been optimized with genetic algorithm, is used to trulydescribe the complicated relation of the fatigue damage. And the simulation results of BP network are proved exact. The dynamic criterion of fatigue failureconsidering the randomness of the critical value of fatigue damage and circular load is established. Moreover, the reliability of fatigue life of materials can be simulated with Monte-Carlostochasticsampling method. For the material of 45~(#)steel under the action of random load or two-level load, the simulation results of reliability of fatigue life is coincidentbetween the values of experiments or theory.
Keywords:fatigue damage  fatigue life  reliability  neural network  genetic algorithm
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