Research data supporting chapter 'Speed-dependent characteristics of train-borne LDV measurement' of dissertation 'Monitoring dynamic properties of railway tracks using train-borne vibrometer measurement'

DOI:10.4121/139ceacd-84fb-4dcc-94b7-6751c2b7527e.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/139ceacd-84fb-4dcc-94b7-6751c2b7527e

Datacite citation style

Zeng, Yuanchen; Li, Zili ; Núñez, Alfredo (2023): Research data supporting chapter 'Speed-dependent characteristics of train-borne LDV measurement' of dissertation 'Monitoring dynamic properties of railway tracks using train-borne vibrometer measurement'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/139ceacd-84fb-4dcc-94b7-6751c2b7527e.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The data and codes were prepared and uploaded to 4TU.ResearchData by Yuanchen Zeng to support the results in Chapter 4 (Speed-dependent characteristics of train-borne LDV measurement) of his dissertation: Monitoring dynamic properties of railway tracks using train-borne vibrometer measurement. This chapter has been submitted for publication as: Zeng Y, Nunez A, Li Z. Track vibration measurement by train-borne laser Doppler vibrometer and its speed-dependent characteristics.

History

  • 2023-07-19 first online, published, posted

Publisher

4TU.ResearchData

Format

.zip package, containing Matlab data (.mat), Matlab codes (.m), Matlab figure (.fig), Origin figure (.opj), figure (.jpg), ReadMe file (.txt), powerpoint figure (.ppt), Excel data (.xlsx).

Funding

  • ProRail ProRail
  • Project RESET (Reliable Embankments for Safe Expansion in Rail Traffic)

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Engineering Structures, Section of Railway Engineering

DATA - restricted access

Reason

The data and codes are commercially confidential and cannot be publicly shared because this work makes use of a patent of TU Delft.

End User Licence Agreement

Access right must be given by the supervisor (Zili Li [email protected]) before access.

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