含模糊不确定性的动力总成悬置系统固有特性分析与优化  被引量:6

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

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作  者:吕辉 杨坤 黄晓婷 袁煜 李沛航 LÜ Hui;YANG Kun;HUANG Xiaoting;YUAN Yu;LI Peihang(School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China;School of Automobile and Traffic Engineering,Guangzhou College of South China University of Technology,Guangzhou 510800,Guangdong,China)

机构地区:[1]华南理工大学机械与汽车工程学院,广东广州510640 [2]华南理工大学广州学院汽车与交通工程学院,广东广州510800

出  处:《华南理工大学学报(自然科学版)》2020年第10期105-112,共8页Journal of South China University of Technology(Natural Science Edition)

基  金:国家自然科学基金资助项目(51975217);广东省自然科学基金资助项目(2020A1515010352);广州市科技计划项目(201804010092);华南理工大学中央高校基本科研业务费专项资金资助项目(2019MS058)。

摘  要:工程实际中,汽车动力总成悬置系统(PMS)不可避免地存在着不确定因素。文中引入模糊变量描述PMS中具有模糊特性的不确定参数,首先推导了一种求解PMS固有特性的模糊-蒙特卡洛法;然后结合泰勒展开和中心差分法推导了一种快速求解PMS固有特性的模糊摄动-中心差分法(FPCDM);随后,基于FPCDM提出了PMS固有特性的模糊可靠性分析与优化方法;最后,通过数值算例验证了文中方法的有效性,并对系统进行了模糊可靠性分析与优化设计。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.

关 键 词:动力总成悬置系统 模糊不确定性 固有特性 可靠性分析 优化设计 

分 类 号:U46[机械工程—车辆工程] TP3[交通运输工程—载运工具运用工程]

 

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