期刊文献+

随机载荷作用下汽车驱动桥壳疲劳寿命预估 被引量:30

FATIGUE LIFE PREDICTION OF VEHICLE'S DRIVING AXLE HOUSE UNDER RANDOM LOADING
在线阅读 下载PDF
导出
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 historyaeted 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 sin- gle and multiple conditions is carried out with S--N methods and professional fatigue analysis software MSC. Fatigue. The life distribu- tion 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.
出处 《机械强度》 EI CAS CSCD 北大核心 2008年第6期982-987,共6页 Journal of Mechanical Strength
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
  • 相关文献

参考文献2

二级参考文献9

  • 1Owen S J,Sarigal S. Surface mash sizing control[J]. International Journal for Numerical Methods in Engineer, 2000,47(3):497-511.
  • 2Hong D,Liu H W. Some new formulations of smoothness conditions and conformality conditions for bivariate splines[J]. Computers & Mathematics with Applications, 2000,40(1):117-125.
  • 3Li Z C. High convergence rates of digital image transformation by numerial integration using spline functions[J]. Computers & Methmatics with Applications, 2001,41(7):229-255.
  • 4Pan Z L, Pan C Y. The calculation of optimum speed ratio of bevel-helical reducing gear[A]. In: Leinonen. Tenth World Congress on the Teory of Mechine and Mechanisms[C]. Oulu:Oulu University Press, 1999.2245-2250.
  • 5Wang X,Wang Y O. Non-liner behavior of spherical shallow shells bonded with piezoelectric actuators by the differential quadrature element method (DQEM)[J]. International Journal for Numerical Methods in Engineering, 2002,53(6):1477-1490.
  • 6Kulikou G M, Plotnikove S v. Simple and effective elements based upon Timoshenko-Minddin Shell theory[J]. Computer Methods in Applied Mechanics and Engineering, 2002,191(11-12):1173-1174.
  • 7Sridharan S, Zeggane M. Stiffened plates and cylindrical shells under interactive buckling[J]. Finite Elements in Analysis and Design, 2001,38(2):155-178.
  • 8Lbrahimbegovic A, Brank B, Courtois P. Stress resultant geometrically exact form of classical shell model and vector-like parameterization of constrained finite rotations[J]. International Journal for Numerical Methods in Engineering, 2001,52(11):1235-1252.
  • 9Fioretto A, Sgarro A.A second step information measure and the uncertainty of bodies of evidence[A]. In:Soheil S. Information Processing and Management of Uncertainty in Knowledge[C]. NY: Prentice Hall, 1996.687-691.

共引文献20

同被引文献215

引证文献30

二级引证文献104

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部