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Article
Assessing Moisture Content on the Surface of Mortar Samples from Hyperspectral Imaging
Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (2019: Aug. 4-7, St. Louis, MO)
  • Liang Fan
  • Abdullah Alhaj
  • Hongyan Ma, Missouri University of Science and Technology
  • Genda Chen, Missouri University of Science and Technology
Description

Hyperspectral imaging represents an electromagnetic spectrum for each pixel in the image of a structural surface. The characteristic wavelength of the spectrum at reflectance valleys or absorption peaks can be used as a spectral feature for certain chemical detection. In this study, spectral reflectance characteristics of mortar samples are extracted to assess the reduction of moisture on the surface of mortar samples during the cement hydration process. The test results indicate that the reflectance increases and the absorbance decreases because water is reacted and less light will be absorbed during the hydration process. The average absorbance between 1923 nm and 1983 nm in wavelength gradually decreases with the mortar curing time. This feature parameter can be used to evaluate the mortar hydration process.

Location
St. Louis, Missouri
Presentation Date
06 Aug 2019, 4:15 pm - 4:35 pm
Meeting Name
INSPIRE-UTC 2019 Annual Meeting
Department(s)
Civil, Architectural and Environmental Engineering
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Citation Information
Liang Fan, Abdullah Alhaj, Hongyan Ma and Genda Chen. "Assessing Moisture Content on the Surface of Mortar Samples from Hyperspectral Imaging" Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (2019: Aug. 4-7, St. Louis, MO) (2019) p. 1150 - 1155
Available at: http://works.bepress.com/hongyan-ma/83/