READ ME File For 'A 2.5D acoustic finite element method applied to railway acoustics'

Dataset DOI: https://doi.org/10.5258/SOTON/D1873

Date that the file was created: June 2021

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GENERAL INFORMATION
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ReadMe Author: David Thompson, University of Southampton, ORCID: 0000-0002-7964-5906

Date of data collection: February 2020 ~ December 2020

Information about geographic location of data collection: University of Southampton, UK

Related projects:
n/a

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SHARING/ACCESS INFORMATION
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Licenses/restrictions placed on the data, or limitations of reuse:
Licence: Creative Commons Attribution 4.0

Recommended citation for the data:
Data from Hui Li; David Thompson; Giacomo Squicciarini: A 2.5D acoustic finite element method applied to railway acoustics, Applied Acoustics 182 (2021) 108270


This dataset supports the publication:
AUTHORS: Hui Li; David Thompson; Giacomo Squicciarini.
TITLE: A 2.5D acoustic finite element method applied to railway acoustics
JOURNAL: Applied Acoustics
PAPER DOI IF KNOWN:doi.org/10.1016/j.apacoust.2021.108270


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DATA & FILE OVERVIEW
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This dataset contains:

Data relating to figures

The figures are as follows:

Figure 3. Octave band sound attenuation predicted by the 2.5D acoustic FE model and compared with measurements for circular railway tunnel from [18].
Figure 6. Sound distribution at the right-hand side...
Figure 7. Sound distribution on the bottom...
Figure 9. Sound distribution with train height obtained from measurement [35] and from the 2.5D acoustic models in one-third octave bands...
Figure 10. Sound distribution with train height in one-third octave bands due to a monopole source...
Figure 11. Sound distribution along the train in the 1.6 kHz one-third octave band due to a monopole source under the train...
Figure 12. Sound distribution on the train external surfaces
Figure 13. Sound pressure on the train side surface at receiver P5 normalised by volume velocity. 
Figure 14. SPL on the centreline of each surface at x=0 m, in one-third octave frequency bands due to a monopole source beneath the train