Hybrid uncertainties-based analysis and optimization design of powertrain mounting systems

作     者：CAI BoHao SHANGGUAN Wen-Bin LÜHui BO Tao CAI BoHao;SHANGGUAN Wen-Bin;L(U) Hui;BO Tao

作者机构：School of Mechanical and Automotive EngineeringSouth China University of TechnologyGuangzhou 510641China 

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.51605167,51975217) the Science and Technology Program of Guangzhou,China(Grant No.201804010092) the Fundamental Research Funds for the Central Universities,SCUT(Grant No.2019MS058) 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2020年第63卷第5期

页      码：838-850页

摘      要：In this study,a hybrid uncertainties-based analysis and optimization method is presented for the designs of the powertrain mounting system(PMS)involving mixed *** the presented method,the PMS parameters with sufficient data are treated as random variables,while those with limited information are defined as interval ***,an uncertainty-based analysis method called as hybrid interval-random perturbation-central difference method(HIRP-CDM),is proposed to compute the hybrid interval-random outputs of the inherent characteristics of the PMS in concerned *** addition,the hybrid interval-random-Monte Carlo method(HIR-MCM)is developed to verify the computational accuracy of ***,an optimization model mixed uncertainties is built up for the PMS design based on HIRP-CDM,in which the hybrid intervalrandom outputs of the concerned inherent characteristics are adopted to construct the design objective and *** complex optimization problem can be effectively settled by means of *** effectiveness of the presented method is verified by a numerical example.

主 题 词：powertrain mounting system hybrid uncertainties uncertainty analysis optimization design 

学科分类：08[工学] 080203[080203] 0802[工学-机械学] 

核心收录：

D　O　I：10.1007/s11431-019-1477-8

馆 藏 号：203901363...