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International benchmarking of longitudinal train dynamics simulators: Results

journal contribution
posted on 2018-08-31, 00:00 authored by Qing WuQing Wu, Maksym SpiryaginMaksym Spiryagin, Colin ColeColin Cole, C Chang, G Guo, A Sakalo, W Wei, X Zhao, N Burgelman, P Wiersma
This paper presents the results of the International Benchmarking of Longitudinal Train Dynamics Simulators which involved participation of nine simulators (TABLDSS, UM, CRE-LTS, TDEAS, PoliTo, TsDyn, CARS, BODYSIM and VOCO) from six countries. Longitudinal train dynamics results and computing time of four simulation cases are presented and compared. The results show that all simulators had basic agreement in simulations of locomotive forces, resistance forces and track gradients. The major differences among different simulators lie in the draft gear models. TABLDSS, UM, CRE-LTS, TDEAS, TsDyn and CARS had general agreement in terms of the in-train forces; minor differences exist as reflections of draft gear model variations. In-train force oscillations were observed in VOCO due to the introduction of wheel–rail contact. In-train force instabilities were sometimes observed in PoliTo and BODYSIM due to the velocity controlled transitional characteristics which could have generated unreasonable transitional stiffness. Regarding computing time per train operational second, the following list is in order of increasing computing speed: VOCO, TsDyn, PoliTO, CARS, BODYSIM, UM, TDEAS, CRE-LTS and TABLDSS (fastest); all simulators except VOCO, TsDyn and PoliTo achieved faster speeds than real-time simulations. Similarly, regarding computing time per integration step, the computing speeds in order are: CRE-LTS, VOCO, CARS, TsDyn, UM, TABLDSS and TDEAS (fastest). © 2017 Informa UK Limited, trading as Taylor & Francis Group.

History

Volume

56

Issue

3

Start Page

343

End Page

365

Number of Pages

23

eISSN

1744-5159

ISSN

0042-3114

Publisher

Taylor & Francis, UK

Peer Reviewed

  • Yes

Open Access

  • No

Acceptance Date

2017-09-02

External Author Affiliations

Université de Technologie de Compiègne, France; Monash University; Institut Français des Sciences et Technologies des Transports et de l’Aménagement des Réseaux,, France; Southwest Jiaotong University, China; DEKRA Rail, Netherlands; Politencico di Milano, Italy; Delft University of technology, NetherSouthwest Jiaotong University, China;lands; Dalian Jiatong University, China; China Academy of Railway Sciences; Bryansk State Technical University, Russia;

Author Research Institute

  • Centre for Railway Engineering

Era Eligible

  • Yes

Journal

Vehicle System Dynamics