起重运输机械Issue(9):72-76,5.
基于蒙特卡罗法的汽车起重机起重臂结构可靠性分析
摘要
Abstract
Jib as the main bearing part of the truck crane, its structural failure is the main cause of the accident of the truck crane, the consequences are more serious. In practices, jib fails due to lots of uncertain parameters such as load, structure size and material properties including both probabilistic and non-probabilistic parameters. Since it's impossible to solve reliability of jib structure with probabilistic parameter reliability calculation method in the presence of probabilistic parameters, the paper turns to analyze and calculate reliability of probabilistic and non-probabilistic hybrid model of jib structure based on the combination of Monte Carlo method and Bayesian network. The method proves to be effective and feasible through examples, which provides reference for reliability calculation and design of jib structure.关键词
汽车起重机/蒙特卡罗法/贝叶斯网络/概率非概率混合模型/可靠性分析Key words
truck crane/Monte Carlo method/Bayesian network/probabilistic and non-probabilistic hybrid model/reliability analysis分类
机械制造引用本文复制引用
潘德国,屈福政,谢正义,孙杰锋..基于蒙特卡罗法的汽车起重机起重臂结构可靠性分析[J].起重运输机械,2017,(9):72-76,5.基金项目
国家自然科学基金项目(51275070) (51275070)