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Civil-Comp Conferences
ISSN 2753-3239 CCC: 1
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo
Paper 8.14
Hyperspectral Imaging for Moisture Content Measurement in Ballast: A Feasibility Study D.N. Lavadiya, E. Ichi and S. Dorafshan
Department of Civil Engineering, University of North Dakota Grand Forks, United States of America D.N. Lavadiya, E. Ichi, S. Dorafshan, "Hyperspectral Imaging for Moisture Content
Measurement in Ballast: A Feasibility Study", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance",
Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 1, Paper 8.14, 2022, doi:10.4203/ccc.1.8.14
Keywords: moisture detection, railroad ballast, hyperspectral imagery, non-contact
sensing.
Abstract
One of the significant aspects of the railroad substructure that governs the
performance of the superstructure is the moisture content of the ballast material.
Although emerging non-destructive technologies (NDTs) are being employed to
assess moisture content, these techniques are time-consuming and demand skilled
operators. The current study proposes the use of hyperspectral imaging for rapid
assessment of moisture content measurement in the ballast material. Experiments are
performed for thirteen different moisture contents, and the reflectance and absorbance
spectra are obtained. Results revealed that the spectral profile of dry ballast material
is distinguishable from that of wet ballast material. However, the overall shape of the
spectral profile for all the moisture contents was noticed to remain similar. The range
of wavelengths for which the reflectance/ absorbance intensities varied from that of a
dry sample is found to be 1375 nm -1550 nm. While a positive linear correlation was
found for the absorption, a negative linear correlation was observed for the
reflectance.
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