摘要
该文针对复杂机械结构零件强度可靠度计算中基本变量与应力响应之间无法用显函数表达的难点 ,基于结构强度的有限元分析方法、人工神经网络(ANN) ,理论和蒙特卡罗 (MC)仿真技术 ,首次提出了复杂结构零件强度可靠度计算的智能仿真算法 。
Deals with the reliability assessment of complex structural parts when there does not exist explicit functions governing the relationship between the basic variables and the stress outputs. Based on finite element analysis, principles of neural networks and Monte Carlo simulation, a neural networks Monte Carlo intelligent simulation method is presented. Reliability is also analyzed by the method for the structure of a compound planetary carrier in a tracked vehicle.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
1999年第3期198-203,共6页
Acta Armamentarii
基金
国家自然科学基金资助项目!(59575004)
关键词
行星变速箱
杠架
可靠度
履带车辆
车辆
planetary gearbox, planetary carrier, artificial neural networks, reliability, Monte Carlo simulation
