Abstract
This project aimed to understand the durability of multiple coating settings that had been widely used in highway bridges. Coatings can prevent their substrate from being contacted by aggressive particles and thus corrosion to preserve structural components. However, the wide selection of coatings for steel girders or truss can greatly impact the serviceability of bridges. This project studied four types of top-coat materials (epoxy, Alkyd, acrylic, and polyurethane) and two types of under-coat materials (epoxy and acyclic). The coatings were configured as two-layer and three-layer systems to evaluate their difference in durability. The degradation process of the coatings was monitored using Electrochemical Impedance Spectroscopy (EIS) and hyperspectral imaging to reveal the occurrence of degradation and evaluate its severity. EIS results indicated the negation of corrosive media through the coatings and the corrosion of their substrate through coating degradation. These results can be correlated with the possible degradation of the coatings derived from the hyperspectral imaging. Specifically, the coating thickness was collected to indicate the possible changes in the corrosion environment due to degradations.
Recommended Citation
Ma, Hongyan; Chen, Genda; and Ma, Pengfei, "Final Report - Hyperspectral Imaging and Analysis for Steel Paint Condition Assessment" (2024). Project SN-9. 1.
https://scholarsmine.mst.edu/project_sn-9/1
Department(s)
Civil, Architectural and Environmental Engineering
Research Center/Lab(s)
INSPIRE - University Transportation Center
Sponsor(s)
Office of the Assistant Secretary for Research and Technology U.S. Department of Transportation 1200 New Jersey Avenue, SE Washington, DC 20590
Keywords and Phrases
Corrosion sensor, coating, degradation
Report Number
INSPIRE-027
Document Type
Technical Report
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2025 Missouri University of Science and Technology, All rights reserved.
Publication Date
September 30, 2024
Comments
Principal Investigator: Hongyan Ma, Ph. D., P. E.
Co-Principal Investigator: Genda Chen, Ph. D., P. E., F. ASCE
Grant #: USDOT # 69A3551747126
Grant Period: 11/30/2016 - 09/30/2024
Project Period: 07/01/2022 - 09/30/2024
The investigation was conducted under the auspices of the INSPIRE University Transportation Center.