Wheel-rail impact loads and noise generated at railway crossings - Influence of vehicle speed and crossing dip angle
Journal article, 2019

Wheel-rail impact loads and noise at railway crossings are calculated by applying a hybrid prediction model. It combines the simulation of non-linear vertical dynamic vehicle-track interaction in the time domain and the prediction of sound pressure level using a linear frequency-domain model. The two models are coupled based on the concept of an equivalent roughness spectrum. The time-domain model uses moving Green's functions for the linear vehicle and track models, accounting for wheel structural flexibility and a discretely supported rail with spatially-varying beam properties, and a non-Hertzian wheel-rail contact model. Three-dimensional surface geometry of the wheel and crossing is accounted for in the solution of the wheel-rail contact. The hybrid model is compared against field measurements and is demonstrated by investigating the influence of vehicle speed and crossing geometry on the radiated impact noise. Based on simulation results, it is concluded that the impact loads and noise can be mitigated by reducing the effective dip angle at the crossing, which is determined by the vertical trajectory of the wheel when making the transition between wing rail and crossing nose. (C) 2019 Elsevier Ltd. All rights reserved.

Railway

Numerical prediction

Turnout

Dynamic vehicle-track interaction

Impact noise

Author

P. T. Torstensson

The Swedish National Road and Transport Research Institute (VTI)

G. Squicciarini

University of Southampton

M. Krueger

DB Netz AG

Björn Pålsson

Chalmers, Mechanics and Maritime Sciences (M2), Dynamics

Jens Nielsen

Chalmers, Mechanics and Maritime Sciences (M2), Dynamics

D. J. Thompson

University of Southampton

Journal of Sound and Vibration

0022-460X (ISSN) 1095-8568 (eISSN)

Vol. 456 119-136

Subject Categories

Applied Mechanics

Vehicle Engineering

Fluid Mechanics and Acoustics

DOI

10.1016/j.jsv.2019.04.034

More information

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1/4/2022 8