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A system for monitoring and managing wagon dynamic stability in long trains

A system, envisaged as a cabin instrument, to provide real time and future predictions of train dynamics and vehicle dynamics and derailment risks is proposed. Using synchronised simulation of longitudinal train dynamics to give coupler forces and accelerations, the system will provide predictive information of wheel unloading that is derived from the effects of coupler forces on curves and from wagon pitching and lifting motions derived from coupler impacts. The risks of vehicle derailment for a predetermined future time period in response to driver control and track inputs can also be determined. The assessment of derailment risk is based on the estimation of wheel unloading caused by the train’s longitudinal and lateral force components, impact forces, centrifugal forces, vehicle speed, and track geometry including irregularities. With this information made available as a cabin instrument, risk in ‘difficult to operate scenarios” can be assessed in real time and operational safety improved. The paper presents simulation examples and a discussion of the proposed device.

Funding

Category 3 - Industry and Other Research Income

History

Editor

Larsson-Kraik P-O; Ahmadi A

Parent Title

Proceedings of the International Heavy Haul Association STS Conference (IHHA 2019): 'Heavy Haul 4.0 - Achieving breakthrough performance levels'

Start Page

760

End Page

766

Number of Pages

7

Start Date

2019-06-12

Finish Date

2019-06-14

ISBN-13

9780911382716

Location

Narvik, Norway

Publisher

International Heavy Haul Association

Place of Publication

Virginia Beach, VA, USA

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Insyte Solutions Pty Ltd, Rockhampton

Author Research Institute

  • Centre for Railway Engineering

Era Eligible

  • Yes

Name of Conference

International Heavy Haul Association STS Conference (IHHA 2019)

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