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A multi-axially coupled trailing arm bush design methodology with parallel optimisation

Zichen Liao, Zihao Yung, Yuan Li, Xiaofu Liu, Jason Zheng Jiang, Zixiao Wang, Mark Graham, Brano Titurus, Thomas L. Hill, Gareth Tucker, David Crosbee, Malcolm Clive Smith, Neil Houghton, Heiko Müller, Sharon Odetunde

Research output: Contribution to journalArticlepeer-review

Abstract

Wheel and rail surface damage caused on curved tracks can be reduced with a low Primary Yaw Stiffness (PYS). This can be achieved using hydro-rubber trailing arm bushes, without compromising passenger comfort and vehicle stability. However, the bush design proposed in the previous studies did not consider the cross-axis coupling characteristics, so it may be challenging to realise such designs physically. Another challenge lies in employing railway dynamics simulation software (e.g. Vampire® Pro) for suspension design: since the optimisation involves a large number of iterations, the optimal design identification process could be highly time-consuming. To address these challenges, this study presents a multi-axially coupled trailing arm bush design methodology, which constrains the static stiffness relationships across multiple axes based on empirical information. The methodology is integrated into a parallel optimisation routine in MATLAB®-Vampire® Pro co-simulation, significantly reducing computational time for multiple assessments. Compared to the non-parallel routine, the parallel implementation reduces computational time by over 78%. This paper presents a study on the design of a hydro-rubber bush for the Mark 4 coach using the proposed approach. The new design achieves a 54% reduction in PYS compared to the existing hydro-rubber bush, while still satisfying all critical performance constraints.

Original languageEnglish
Number of pages22
JournalVehicle System Dynamics
Early online date19 Nov 2025
DOIs
Publication statusE-pub ahead of print - 19 Nov 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

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