Journal of South China University of Technology(Natural Science) >

2020 , Vol. 48 >Issue 10: 105 - 112

DOI: https://doi.org/10.12141/j.issn.1000-565X.200026

Mechanical Engineering

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

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  • 1． School of Mechanical and Automotive Engineering，South China University of Technology，Guangzhou 510640,Guangdong，China; 2． School of Automobile and Traffic Engineering，Guangzhou College of South China University of Technology，Guangzhou 510800，Guangdong，China
吕辉(1986-)，男，博士，副教授，主要从事汽车 NVH 分析与控制研究。E-mail: melvhui@ scut. edu. cn

Received date: 2020-01-15

  Revised date: 2020-04-24

  Online published: 2020-05-08

Supported by

Supported by the National Natural Science Foundation of China (51975217) and the Natural Science Founda-tion of Guangdong Province (2020A1515010352)

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Abstract

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 pro-posed method was verified by a numerical example，and the fuzzy reliability and optimal design of the PMS with fuzziness were also investigated．

Key words： powertrain mounting system; fuzzy uncertainty; inherent characteristics; reliability analysis; opti-mized design

Cite this article

Lü Hui, YANG Kun, HUANG Xiaoting, et al . Inherent Characteristics Analysis and Optimization of Powertrain Mounting Systems Involving Fuzzy Uncertainty[J]. Journal of South China University of Technology(Natural Science), 2020 , 48(10) : 105 -112 . DOI: 10.12141/j.issn.1000-565X.200026

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