QQ客服 官方微博 反馈留言

	随机载荷作用下汽车驱动桥壳疲劳寿命预估
	高晶 ; 宋健 ; 朱涛 ; GAO Jing ; SONG Jian ; ZHU Tao
	2010-05-13 ; 2010-05-13
关键词	驱动桥壳 有限元方法 随机载荷 疲劳分析 Driving axle house Finit element method Random loading Fatigue analysis U463.218
其他题名	FATIGUE LIFE PREDICTION OF VEHICLE'S DRIVING AXLE HOUSE UNDER RANDOM LOADING
中文摘要	运用三维造型软件Pro/Engineer建立某型商用车驱动桥后桥壳的实体模型。依据有限元基本理论,在MSC.Patran中进一步建立该桥壳的有限元模型,利用有限元分析系统MSC.Nastran进行桥壳的应力分析和模态分析。同时建立与该桥壳相匹配的某型商用车的整车多体动力学系统模型,并进行在不同等级的虚拟路面上的整车动力学分析,得到作用在桥壳弹簧座上的随机载荷历程。综合有限元分析获得的应力结果和以上所得到的随机载荷历程数据,利用专业级疲劳分析系统MSC.Fatigue,进行桥壳整体基于S—N法的单事件和多事件复合工况下疲劳性能分析,给出桥壳疲劳寿命的分布情况和最危险点的寿命值。通过与台架疲劳试验的桥壳失效情况相对比,预估结果与试验结果一致。; The solid model of a commercial vehicle's driving axle house was built with the software Pro/Engineer. According to the theory of finite element methods (FEM),the finite element model of the axle house is built by means of the software MSC.Patran. The stress analysis and modal analysis were performed through the finite element analysis (FEA) software MSC.Nastran. Then,the whole vehicle multi-body system (MBS) model of the commercial vehicle equipped with the axle house is built and analyzed to obtain the random loading historyacted on the leaf spring pedestal through driving on different class virtual road surfaces. Based on the stress results of finite element analysis and the random loading history obtained above,the fatigue performance calculation of the axle house under single and multiple conditions is carried out with S—N methods and professional fatigue analysis software MSC.Fatigue. The life distribution of the whole axle house and the fatigue lives of the most damaged points were obtained. By comparing the failure position and fatigue lives of the axle house in the rig test,the results of the prediction and the test are consistent.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/31316]
专题	清华大学
推荐引用方式 GB/T 7714	高晶,宋健,朱涛,等. 随机载荷作用下汽车驱动桥壳疲劳寿命预估[J],2010, 2010.
APA	高晶,宋健,朱涛,GAO Jing,SONG Jian,&ZHU Tao.(2010).随机载荷作用下汽车驱动桥壳疲劳寿命预估..
MLA	高晶,et al."随机载荷作用下汽车驱动桥壳疲劳寿命预估".(2010).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。