The University of Southampton
University of Southampton Institutional Repository

Dataset for: Aerodynamic noise of high-speed train pantographs: comparisons between field measurements and an updated component-based prediction model

Dataset for: Aerodynamic noise of high-speed train pantographs: comparisons between field measurements and an updated component-based prediction model
Dataset for: Aerodynamic noise of high-speed train pantographs: comparisons between field measurements and an updated component-based prediction model
Dataset supports "Aerodynamic noise of high-speed train pantographs: comparisons between field measurements and an updated component-based prediction model" accepted in Journal "Applied Acoustics", Article Number: 107791. Reference: APAC_107791
University of Southampton
Liu, Xiaowan
85bbaeb6-7fb2-429b-8f29-3a889480d2fd
Liu, Xiaowan
85bbaeb6-7fb2-429b-8f29-3a889480d2fd

Liu, Xiaowan (2020) Dataset for: Aerodynamic noise of high-speed train pantographs: comparisons between field measurements and an updated component-based prediction model. University of Southampton doi:10.5258/SOTON/D1654 [Dataset]

Record type: Dataset

Abstract

Dataset supports "Aerodynamic noise of high-speed train pantographs: comparisons between field measurements and an updated component-based prediction model" accepted in Journal "Applied Acoustics", Article Number: 107791. Reference: APAC_107791

Text
Readme.txt - Text
Available under License Creative Commons Attribution.
Download (4kB)
Archive
Figures.zip - Dataset
Available under License Creative Commons Attribution.
Download (1MB)

More information

Published date: 2020

Identifiers

Local EPrints ID: 445261
URI: http://eprints.soton.ac.uk/id/eprint/445261
PURE UUID: c5574f31-42c6-4938-b388-44c12060e7dd

Catalogue record

Date deposited: 02 Dec 2020 10:25
Last modified: 05 May 2023 17:13

Export record

Altmetrics

Contributors

Creator: Xiaowan Liu

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×