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Dataset for paper "Prediction of rail and bridge noise from concrete railway viaducts using a multi-layer rail fastener model and a wavenumber domain method"

Dataset for paper "Prediction of rail and bridge noise from concrete railway viaducts using a multi-layer rail fastener model and a wavenumber domain method"
Dataset for paper "Prediction of rail and bridge noise from concrete railway viaducts using a multi-layer rail fastener model and a wavenumber domain method"
Dataset supporting: Li, Qi et al (2017) Prediction of rail and bridge noise from concrete railway viaducts using a multi-layer rail fastener model and a wavenumber domain method. Proceedings of the IMechE Part F, Journal of Rail and Rapid Transit.
University of Southampton
Li, Qi
193e5502-fc0d-4a67-8b41-ed4d8b560c2f
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Li, Qi
193e5502-fc0d-4a67-8b41-ed4d8b560c2f
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5

Li, Qi and Thompson, David (2017) Dataset for paper "Prediction of rail and bridge noise from concrete railway viaducts using a multi-layer rail fastener model and a wavenumber domain method". University of Southampton doi:10.5258/SOTON/D0135 [Dataset]

Record type: Dataset

Abstract

Dataset supporting: Li, Qi et al (2017) Prediction of rail and bridge noise from concrete railway viaducts using a multi-layer rail fastener model and a wavenumber domain method. Proceedings of the IMechE Part F, Journal of Rail and Rapid Transit.

Spreadsheet
FigureData_JRRT_16_0247.xlsx - Dataset
Available under License Creative Commons Attribution.
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Text
Readme.txt - Dataset
Available under License Creative Commons Attribution.
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More information

Published date: 2017
Organisations: Dynamics Group

Identifiers

Local EPrints ID: 411733
URI: http://eprints.soton.ac.uk/id/eprint/411733
PURE UUID: cec907d8-1412-4b3d-85ef-ed6979dd4d06
ORCID for David Thompson: ORCID iD orcid.org/0000-0002-7964-5906

Catalogue record

Date deposited: 22 Jun 2017 16:34
Last modified: 05 Nov 2023 02:35

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Contributors

Creator: Qi Li
Creator: David Thompson ORCID iD

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