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Prof David Thompson, Dr M. Smith
No more applications being accepted
Competition Funded PhD Project (European/UK Students Only)
About the Project
For high speed trains operating at speeds exceeding 300km/h, aerodynamic noise becomes a contributor to the overall noise emission of the train. Aerodynamic noise is generated by a number of different sources situated at different heights from the track. Understanding the relative contributions of these different sources (nose, bogies, pantograph) is of great interest to the railway industry, particularly when noise barriers are used as a noise mitigation measure. This is because the level of noise reduction provided by a barrier will depend on the relative level and heights of the noise sources.
A lot of research has been carried out recently using microphone array measurements of scale models and full scale components, in wind tunnels, and outdoor measurements of in-service trains. However there remains scope to improve the accuracy of quantitative assessments, to improve understanding of the relative contributions of the various sources and to identify the parameters of major influence.
In this project, Arup seeks to improve prediction methods for airborne noise emissions from high speed trains, by characterising discrete sources across the train in terms of level, directivity and speed dependence. This project will be based on microphone array and far field measurements using the aeroacoustic wind tunnel capability at ISVR. Recent advances in microphone array processing techniques, such as deconvolution methods, will be exploited.
These measurements will then inform modelling techniques based on a component-based approach that promise a good compromise between speed and accuracy of noise predictions.
Start date: October 2012
A lot of research has been carried out recently using microphone array measurements of scale models and full scale components, in wind tunnels, and outdoor measurements of in-service trains. However there remains scope to improve the accuracy of quantitative assessments, to improve understanding of the relative contributions of the various sources and to identify the parameters of major influence.
In this project, Arup seeks to improve prediction methods for airborne noise emissions from high speed trains, by characterising discrete sources across the train in terms of level, directivity and speed dependence. This project will be based on microphone array and far field measurements using the aeroacoustic wind tunnel capability at ISVR. Recent advances in microphone array processing techniques, such as deconvolution methods, will be exploited.
These measurements will then inform modelling techniques based on a component-based approach that promise a good compromise between speed and accuracy of noise predictions.
Start date: October 2012
Funding Notes
This EngD project is being funded through the Industry Doctoral Training Centre in Transport and the Environment. The studentship comprises support from both EPRSC and an industrial sponsor.
To be eligible students need to have UK status or be a European Union (EU)* national who has been 'ordinarily resident' in the UK for three years prior to the commencement of studies.
Small number of studentships still available - Apply as soon as possible.
To be eligible students need to have UK status or be a European Union (EU)* national who has been 'ordinarily resident' in the UK for three years prior to the commencement of studies.
Small number of studentships still available - Apply as soon as possible.
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