Paper Title:
Strength Reliability Analyses for Bus Body Frames Based on Monte Carlo Method
  Abstract

Compared with traditional deterministic structural static analysis, it is more practical that strength reliability analyses for bus body frames involving uncertainties in material and in geometrical parameters. In this paper, basic theories of structural reliability combined with bus driving characteristics, the concept of strength reliability for bus body frames and calculation method based Monte Carlo method are proposed. The formula of sensitivity of performance function to random variables is derived. Strength reliability figured for a bus body frame is 0.999626851 in the case of running with uniform velocity. Main random variables which effect on strength reliability are found via sensitivity analysis. All of works done can be applied to bus body frame designs based reliability.

  Info
Periodical
Advanced Materials Research (Volumes 179-180)
Edited by
Garry Zhu
Pages
563-568
DOI
10.4028/www.scientific.net/AMR.179-180.563
Citation
D. Q. Zhang, T. X. Zhang, W. T. Zhao, W. P. Zhang, "Strength Reliability Analyses for Bus Body Frames Based on Monte Carlo Method", Advanced Materials Research, Vols. 179-180, pp. 563-568, 2011
Online since
January 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Xiao Zhong Ren, Shao Jie Du, Xue Sheng Pei
Abstract:Applying the 3D design and finite element technology to the design of city bus body, the model analysis of bus body frame was carried out. On...
1389
Authors: Perawat Boonpuek, Supakit Rooppakhun, Somsak Siwadamrongpong, Sarawut Bua-Ngam
Chapter 2: Design, Modelling, Simulation in Manufacturing and Mechanical Engineering Applications
Abstract:Chassis strength and durability of local buses has been successively developed as many large automobiles due to reason for safe passenger...
408
Authors: Katarina Tvrda
Abstract:The probabilistic design analyses a plate involving uncertain input parameters. These input parameters (geometry, material properties,...
64