Thermal imaging analysis of ballast fouling

Investigating the effects of parent rock and fouling materials through IRT passive camera

Journal Article (2024)
Author(s)

Mehdi Koohmishi (University of Bojnord, Iran)

Sakdirat Kaewunruen (University of Birmingham)

Guoqing Jing (Beijing Jiaotong University)

Yunlong Guo (TU Delft - Railway Engineering, University of Birmingham)

Research Group
Railway Engineering
DOI related publication
https://doi.org/10.1016/j.trgeo.2024.101313
More Info
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Publication Year
2024
Language
English
Research Group
Railway Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Volume number
48
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Abstract

This study explores the use of infrared thermography (IRT) technology for the non-destructive evaluation of ballast fouling in railway tracks, focusing on the influence of parent rock types and fouling materials. Utilizing thermal imaging, the research investigates how variations in ballast conditions affect surface temperature, which serves as an indicator of structural integrity and health. The experimental setup involved ballast samples derived from three different rock types—basalt, limestone, and andesite—fouled with commonly encountered materials like sand and clay at varying percentages. Results demonstrate that fouling level and type significantly influence the thermal signatures captured by IRT passive camera. Notably, ballast derived from darker rocks exhibited higher temperatures, indicating greater emissivity, while fouled ballast showed distinct temperature patterns compared to clean samples, emphasizing the potential of thermal imaging in detecting and quantifying fouling in ballast layers. This research underscores the viability of IRT passive camera in the routine maintenance and monitoring of railway infrastructure, providing a foundation for further development of integrated diagnostic tools for railway management systems.

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