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Parallel multiobjective optimisations of draft gear designs

journal contribution
posted on 26.11.2018, 00:00 by Qing Wu, Colin Cole, Maksym Spiryagin, Timothy Mcsweeney
This paper presents the methodology and results of the parallel multiobjective optimisations of draft gear designs. The methodology used white-box draft gear models, whose parameters were used as the optimisation variables. Two optimisation algorithms were used: genetic algorithm and particle swarm optimisation. All the optimised draft gear designs were constrained by impact tests to ensure that the optimised designs also comply with the current acceptance standards for draft gears. The performance of draft gears was assessed using whole-trip longitudinal train dynamics simulations and coupler fatigue damage calculations. Each simulation covered a round trip (loaded one way, empty on return) over a total of 640 km of track, which involved about 10 h of operational time. Three optimisation objectives were considered: minimal fatigue damage for wagon connection systems of loaded trains, minimal in-train forces for loaded trains, and minimal longitudinal wagon accelerations for empty trains. Two case studies were presented, which optimised two types of draft gears (single-stage and double-stage draft gears) using genetic algorithm and particle swarm optimisation, respectively. © 2017, © IMechE 2017.

History

Volume

232

Issue

3

Start Page

744

End Page

758

Number of Pages

15

eISSN

2041-3017

ISSN

0954-4097

Publisher

Sage Publications, UK

Peer Reviewed

Yes

Open Access

No

Acceptance Date

02/01/2017

Author Research Institute

Centre for Railway Engineering

Era Eligible

Yes

Journal

Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

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