# [1]张红旗,邵晓东,胡祥涛,等.基于随机有限元方法的机械结构可靠性评估[J].东南大学学报(自然科学版),2014,44(1):76-81.[doi:10.3969/j.issn.1001-0505.2014.01.014] 　Zhang Hongqi,Shao Xiaodong,Hu Xiangtao,et al.Reliability assessment for mechanical structure based on stochastic finite element method[J].Journal of Southeast University (Natural Science Edition),2014,44(1):76-81.[doi:10.3969/j.issn.1001-0505.2014.01.014] 点击复制 基于随机有限元方法的机械结构可靠性评估() 分享到： var jiathis_config = { data_track_clickback: true };

44

2014年第1期

76-81

2014-01-18

## 文章信息/Info

Title:
Reliability assessment for mechanical structure based on stochastic finite element method

1西安电子科技大学机电工程学院, 西安710071; 2中国电子科技集团第三十八研究所, 合肥230088; 3东南大学机械工程学院, 南京211189
Author(s):
1 School of Electronical and Mechanical Engineering, Xidian University, Xi’an 710071, China
2 CETC No. 38 Research Institute, Hefei 230088, China
3School of Mechanical Engineering, Southeast University, Nanjing 211189, China

Keywords:

TB114.3
DOI:
10.3969/j.issn.1001-0505.2014.01.014

Abstract:
Stochastic finite element method(SFEM)is adopted to evaluate the reliability characteristics of a mechanical structural assembly. The load characteristics and its calculating model of the assembly are obtained by considering both the working and transportation situation. The corresponding finite element analysis model is established with Ansys software. The static and dynamic performances of the components including stress-strain behavior, inherent frequency mode of vibration, static response of wind load, and random vibration response analysis,under different situations are obtained. Based on the Monte Carlo simulation with the Latin hypercube sampling method, the load and the yield strength of material are selected as stochastic variables, and then SFEM is used to assess the reliability of the assembly which is undergoing the interaction of wind load and road load. On this basis, the parametric sensitivity analysis for the assembly’s structural reliability is carried out. The results show that SFEM can evaluate the structural reliability under dynamic environments effectively, providing a theoretical foundation for the reliability design of such systems.

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