Whittle, J.W. orcid.org/0000-0001-5792-1140, Danks, S., Słodczyk, I. orcid.org/0000-0002-0796-5302 et al. (1 more author) (2024) Using digital image correlation (DIC) to measure railway ballast movement in full-scale laboratory testing of sleeper lateral resistance. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 238 (8). pp. 1037-1041. ISSN 0954-4097
Abstract
A fast and accurate method is described for determining the surface movement of railway ballast during a full-scale lateral resistance test. The proposed method utilises commodity camera equipment and open-source Digital Image Correlation (DIC) algorithms, to track individual ballast particles. It does not require time intensive ballast preparation. Tests have been performed under ambient and floodlit conditions, using colour and greyscale processing routes. The results are compared against direct measurements from lateral resistance tests to assess the accuracy of the proposed method, with a range of absolute maximum error between 0.9% and 3.4% under different laboratory conditions. The study shows that this technique is a viable way to track and measure ballast and sleeper movement over wide areas in near real time, which will lead to an increased understanding of the way ballast interactions influence track behaviour.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © IMechE 2024. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the Sage and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
Keywords: | Ballast; lateral resistance; image analysis; digital image correlation; sleeper; tie |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council 2617244 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Mar 2024 14:42 |
Last Modified: | 16 Sep 2024 10:06 |
Status: | Published |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/09544097241241102 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:210811 |