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

Addresses: Department of Mechatronic Engineering, National Kaohsiung University of Science and Technology, 824, Kaohsiung City, Taiwan ' Department of Industrial Engineering and Management, Cheng Shiu University, Kaohsiung, 833, Kaohsiung City, Taiwan ' Department of Industrial Engineering and Management, Cheng Shiu University, Kaohsiung, 833, Kaohsiung City, Taiwan

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.

Keywords: uniform design (UD); efficient global optimisation (EGO) algorithm; heuristic nonlinear creep model; rail irregularity; derailment quotient.

DOI: 10.1504/IJHVS.2023.134704

International Journal of Heavy Vehicle Systems, 2023 Vol.30 No.6, pp.692 - 717

Received: 10 Oct 2021
Accepted: 16 Dec 2021
Published online: 06 Nov 2023 *

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