{"title":"Robust and optimal design of railway vehicle system for derailment risk using efficient global optimisation method","authors":"Yung Chang Cheng, Cheng Kang Lee, Chia Ling Hsieh","doi":"10.1504/ijhvs.2023.134704","DOIUrl":null,"url":null,"abstract":"This paper presents an innovative optimisation procedure, combining uniform design (UD) and the efficient global optimisation (EGO) algorithm, to generate a set of robust suspension parameters in a railway vehicle model. Nonlinear dynamic analysis of a 31 degree-of-freedom (DOF) railway vehicle model was determined using Kalker's linear theory and heuristic nonlinear creep criterion. To increase running safety, optimisation design for suspension parameters is introduced to make the performance more robust and reduce the sensitivity to noise. Considering the noise factors, vehicle speed and rail irregularity, the dynamic response and derailment quotient are obtained by the Runge-Kutta method. By applying uniform design (UD), Kriging interpolation and efficient global optimisation (EGO) algorithm, the best signal-to-noise ratio of the derailment quotient is increased from 12.05 dB to 31.3 dB, or 160%. The numerical results indicate that the optimal and robust design of suspension parameters has been determined successfully by the novel optimisation process.","PeriodicalId":54958,"journal":{"name":"International Journal of Heavy Vehicle Systems","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Heavy Vehicle Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijhvs.2023.134704","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents an innovative optimisation procedure, combining uniform design (UD) and the efficient global optimisation (EGO) algorithm, to generate a set of robust suspension parameters in a railway vehicle model. Nonlinear dynamic analysis of a 31 degree-of-freedom (DOF) railway vehicle model was determined using Kalker's linear theory and heuristic nonlinear creep criterion. To increase running safety, optimisation design for suspension parameters is introduced to make the performance more robust and reduce the sensitivity to noise. Considering the noise factors, vehicle speed and rail irregularity, the dynamic response and derailment quotient are obtained by the Runge-Kutta method. By applying uniform design (UD), Kriging interpolation and efficient global optimisation (EGO) algorithm, the best signal-to-noise ratio of the derailment quotient is increased from 12.05 dB to 31.3 dB, or 160%. The numerical results indicate that the optimal and robust design of suspension parameters has been determined successfully by the novel optimisation process.
期刊介绍:
IJHVS provides an authoritative source of information and an international forum in the field of on/off road heavy vehicle systems, including buses. It is a highly professional and refereed journal which forms part of the proceedings of the International Association for Vehicle Design. IAVD is an independent, non-profit, learned society which provides a forum for professionals in both industry and academic institutions to meet, exchange ideas and disseminate knowledge in the field of automotive engineering, technology, and management.