Inherent Characteristics Analysis and Optimization of Powertrain Mounting Systems Involving Fuzzy Uncertainty

被引：0
|
作者：
Lü H. [1 ]
Yang K. [1 ]
Huang X. [2 ]
Yuan Y. [1 ]
Li P. [1 ]
机构：
[1] School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou
[2] School of Automobile and Traffic Engineering, Guangzhou College of South China University of Technology, Guangzhou
来源：
Huang, Xiaoting (huangxiaoting1@gcu.edu.cn) | 1600年 / South China University of Technology卷 / 48期
基金：
中国国家自然科学基金;
关键词：
Fuzzy uncertainty; Inherent characteristics; Optimized design; Powertrain mounting system; Reliability analysis;
D O I：
10.12141/j.issn.1000-565X.200026
中图分类号：
学科分类号：
摘要：
In engineering practice, various uncertainties inevitably exist in the powertrain mounting system (PMS) of vehicle. In this study, fuzzy variables were introduced to address the uncertain parameters of a PMS involving fuzziness. Firstly, the fuzzy Monte-Carlo method (FMCM) was developed to calculate the fuzzy responses of inhe-rent characteristics of PMS. Then, an efficient analysis method named as fuzzy perturbation-central difference me-thod (FPCDM) was derived to improve computational efficiency. Next, the reliability-based analysis and design optimization method of the PMS with fuzziness was proposed based on FPCDM. Finally, the effectiveness of the proposed method was verified by a numerical example, and the fuzzy reliability and optimal design of the PMS with fuzziness were also investigated. © 2020, Editorial Department, Journal of South China University of Technology. All right reserved.
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页码：105 / 112
页数：7
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