Post date: 03-oct-2014 5:50:48
Title: Component-based models to predict aerodynamic noise from high-speed trains
Date: 07-oct-2014
Materials: slides pdf
Speaker: Eduardo Latorre Iglesias. University of Southampton, United Kingdom
Authors: Eduardo Latorre Iglesias, David Thompson, and Malcolm Smith
Institute of Sound and Vibration Research, University of Southampton, SO17 1BJ, U K
Abstract: When the train speed is sufficiently high the aerodynamic noise becomes a predominant noise source. In the case of high-speed trains this is one of the main environmental issues that should be faced. In order to fulfil environmental regulations and to reduce the negative impact of high-speed train noise the aerodynamic noise should be tackled in an early stage of the design. In recent years, Computational Fluid Dynamics (CFD) and Computational AeroAcoustics (CAA) models have been developed in order to predict aerodynamic noise but the computational cost and time consumption associated with these models are still too high for practical use in design. Semi-empirical component-based models, which have been applied successfully to predict the aerodynamic noise radiated by aircraft landing gears, are proposed as a rapid prediction tool for the aerodynamic noise generated by high-speed trains. Specific examples of the application of component-based models are given for the aerodynamic noise radiated by a high-speed train pantograph and bogie. The models are calibrated by means of experimental databases based on wind tunnel tests and validated against wind-tunnel and field measurement data. These models have the potential to be a powerful tool for the railway industry, allowing the effect of design modifications of different parts of the train to be assessed in a rapid and efficient manner and low-noise technology to be developed.