Multi-objective robust optimization design of a front-end underframe structure for a high-speed train

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

23 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)753-774
Number of pages22
Journal / PublicationEngineering Optimization
Volume51
Issue number5
Online published6 Aug 2018
Publication statusPublished - 4 May 2019
Externally publishedYes

Abstract

A multi-objective robust design optimization of a front-end underframe structure for application in high-speed trains is proposed and the structural parameter uncertainty is considered. A finite element model of the structure is developed and verified by dynamic impact experiments. The sensitivity analysis demonstrates that the thicknesses of the centre sill have significant influences on structural crushing behaviours. The specific energy absorption and the initial peak crushing force (Fp) are taken as optimization objectives. Compared with the baseline structure, the 6-sigma robust design shows that the Fp and the structural mass are reduced by 54.86% and 13.06%, respectively, and the robust optimum is more reliable. The 6-sigma robust optimal solution has an efficient energy-absorbing capacity while satisfying the design constraint. Thus, 6-sigma robust optimization can be applied for high-speed trains.

Research Area(s)

  • crashworthiness, front-end underframe structure, Multi-objective robust optimization

Bibliographic Note

Funding Information: The work was supported by the National Natural Science Foundation of China [grant number 51405517, U1334208], the Natural Science Foundation of Hunan Province [grant number 2015JJ3155], the China Postdoctoral Science Foundation [grant number 2015M570691], the National Key Research and Development Program of China [grant number 2016YFB1200505-017] and the Fundamental Research Funds for the Central Universities of Central South University [grant number 2018zzts165]. Publisher Copyright: © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.