Title: Evaluation criteria of wheel/rail interaction measurement results by trackside control equipment

Authors: Gintautas Bureika; Mikhail Levinzon; Stasys Dailydka; Stasys Steisunas; Rasa Zygiene

Addresses: Faculty of Transport Engineering, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania ' Railway Vehicle and Track Interaction Testing Center, 6/3 Slobodskoy pereulok, 111033, Moscow, Russia ' Faculty of Transport Engineering, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania ' Faculty of Transport Engineering, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania ' Faculty of Transport Engineering, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania

Abstract: The condition of the wheelset of a running train is controlled by trackside automated control equipment (TACE), which measures parameters of wheel/rail contact and signals about possible damages in wheels. Calculation of strength and lifetime of train running gear and roadbed of rail track should be based on values of wheel vertical impact on rail. The major problem of using TACE is low reliability of measured wheel/rail interaction force values and low repeatability of TACE readings. This problem occurs because wheel/rail interaction is a completely stochastic phenomenon. It is necessary to control the indirect indicators defining studied interaction of wheel and rail. One of these indicators is irregularity of wheel running surface, whose magnitude is regulated and measured in train inspection stations. The dynamic factor K_d as a derived criterion is evaluated and the new system of criteria, ensuring sufficient reliability of vehicle wheel damage measurement data is proposed.

Keywords: railway vehicle; wheel flat; wheel/rail interaction; WILD; wheel load impact detector; data repeatable; data reliability.

DOI: 10.1504/IJHVS.2019.102682

International Journal of Heavy Vehicle Systems, 2019 Vol.26 No.6, pp.747 - 764

Received: 17 Dec 2016
Accepted: 29 Mar 2017
Published online: 02 Oct 2019 *

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