On the rolling noise generation due to wheel/track parametric excitation

2006 ◽  
Vol 293 (3-5) ◽  
pp. 566-574 ◽  
Author(s):  
T.X. Wu ◽  
D.J. Thompson
2020 ◽  
pp. 107754632096865
Author(s):  
Anders Nordborg

When a wheel rolls over a railway rail, it ‘sees’ a varying stiffness downwards because the rail is periodically supported by sleepers, leading to parametric excitation of the rail/wheel system. This study investigates the importance of parametric excitation on railway noise generation. Because the problem is non-stationary, it is modelled in the time domain. Rail and wheel impulse response functions, together with an iteration scheme to match boundary conditions in the rail/wheel contact patch, yield rail and wheel response plus contact force at each wheel position on the rail. Forward velocity and rotation of the elastic wheel are accounted for. Feedback coupling between response and force takes part in the excitation. Numerical simulations show that, for a rail on stiff pads, parametric excitation is a major excitation mechanism, above all leading to increased excitation and noise levels in a broad frequency region around the pinned–pinned frequency.


Author(s):  
D.J. Thompson ◽  
C. J.C. Jones

The main source of railway noise is the rolling of the steel wheel on the steel rail. Theoretical models of the phenomenon have been under development since the 1970s, culminating in the Track-Wheel Interaction Noise Software (TWINS). Using the TWINS model, it is possible to evaluate the rolling-noise behavior of different wheel and track designs and thereby derive new designs that are inherently quieter. An overview is given of the mechanisms involved in noise generation and the parameters that have the most influence on the noise are identified. It is usually important to reduce the noise from both the wheel and the track. Some examples are given of techniques that are being developed using the model with the aim of reducing the noise at the source.


2004 ◽  
Vol 278 (4-5) ◽  
pp. 725-747 ◽  
Author(s):  
T.X. Wu ◽  
D.J. Thompson

Sign in / Sign up

Export Citation Format

Share Document