摘要
将弹性连杆机构的不确定性参数描述为区间变量,分别利用一阶Taylor展开式和基于神经网络的Monte-Carlo模拟法来进行机构动力响应的区间分析,建立了弹性连杆机构的非概率可靠性分析模型;通过数值算例,分别用上述两种区间分析方法对弹性连杆机构的动力响应进行区间分析及非概率可靠性分析。结果表明,Taylor展开法给出的结果偏差较大,而基于神经网络的Monte-Carlo模拟法对不确定参数在小范围变化的区间分析是可行和有效的。
The uncertain parameters of elastic linkage mechanism were described as interval variables herein. Then the interval analysis of dynamic response of elastic linkage mechanism was made by using Taylor series expansion and Monte-Carlo simulation based on BP （Back-propagation） Network respectively. Based on above, the non-probabilistic reliability model of elastic linkage mechanism was established. Finally, the numerical example shows that the result of the Taylor method has larger error than that of the presented method, and the presented interval analysis method of MonteCarlo simulation based on BP is practicable and effective in the case of small degrees of uncertainty.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2007年第5期528-531,563,共5页
China Mechanical Engineering
基金
国防预研项目(51421060505DZ0155)
陕西省自然科学基金资助项目(2002A14)
关键词
弹性连杆机构
区间分析
神经网络
非概率可靠性
elastic linkage mechanism
interval analysis
neural network
non-probabilistic reliability
