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Research Article

Assessing wagon pack sizes in longitudinal train dynamics simulations

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Pages 277-287 | Received 23 Jul 2018, Accepted 10 Aug 2018, Published online: 27 Aug 2018
 

ABSTRACT

Wagon packs replace some couplers with draw-bars to reduce slacks in the train. Prior to the decision of wagon pack sizes, the implications of wagon pack sizes for train dynamics and connection system fatigue life have to be assessed. This paper uses longitudinal train dynamics (LTD) simulations to assess three different wagon pack sizes (1-pack, 2-pack and 4-pack) for a real-world heavy haul train configuration on a real-world railway. Simulations are conducted to assess the implications of wagon pack sizes during train starting, speed correction braking, emergency braking and whole-trip train operations. In-train forces and train speed differences are compared and analysed for all simulations. Wagon connection fatigue life is compared for the whole-trip train simulations. The results show that both 2-pack and 4-pack plans can decrease the in-train force magnitudes during train operations. However, the improvements from the 1-pack plan to 2-pack plan are evidently larger than those when moving from the 2-pack plan to 4-pack plan. The results also show that force magnitudes are not the major conflict for the studied cases. Fatigue life calculations show that the 2-pack plan and 4-pack plan can increase the wagon connection system fatigue life by 69% and 176%, respectively .

Acknowledgments

The editing contribution of Mr Tim McSweeney (Adjunct Research Fellow, Centre for Railway Engineering) is gratefully acknowledged.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Qing Wu

Dr. Qing Wu (PhD) is a Senior Research Officer the Centre for Railway Engineering, Central Queensland University. His research interests include train dynamics, railway vehicle dynamics, parallel computing and intelligent optimisations.

Colin Cole

Prof. Colin Cole (PhD) is the director of the Centre for Railway Engineering, Central Queensland University. His research interests include longitudinal train dynamics, train health advisory systems and intelligent train control systems.

Maksym Spiryagin

Prof. Maksym Spiryagin (PhD) is the deputy director of the Centre for Railway Engineering at Central Queensland University and is working on rail vehicle and hybrid locomotive designs, locomotive traction, and the development of real-time and mechatronic systems.

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