Assessment Technique for the Degradation of Heavy-Duty Anticorrosion Coatings on Long-Span Bridges Utilizing Near-Infrared Measurement

first_page Download PDF settings Order Article Reprints Font Type: Arial Georgia Verdana Font Size: Aa Aa Aa Line Spacing:    Column Width:    Background: Open AccessAbstract Assessment Technique for the Degradation of Heavy-Duty Anticorrosion Coatings on Long-Span Bridges Utilizing Near-Infrared Measurement † by Akinori TaniAkinori Tani SciProfiles Scilit Preprints.org Google Scholar 1, Shinsuke HarunaShinsuke Haruna SciProfiles Scilit Preprints.org Google Scholar 1, Yuki OgawaYuki Ogawa SciProfiles Scilit Preprints.org Google Scholar 2,*, Daiki ShiozawaDaiki Shiozawa SciProfiles Scilit Preprints.org Google Scholar 1, Takahide SakagamiTakahide Sakagami SciProfiles Scilit Preprints.org Google Scholar 1, Kenji FujitaKenji Fujita SciProfiles Scilit Preprints.org Google Scholar 3, Haruhiko KonoHaruhiko Kono SciProfiles Scilit Preprints.org Google Scholar 3 and Hiroto TamuraHiroto Tamura SciProfiles Scilit Preprints.org Google Scholar 3 1 Department of Mechanical Engineering, Kobe University, Kobe 657-8501, Japan 2 Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima 739-8527, Japan 3 Honshu-Shikoku Bridge Expressway Co., Ltd., Kobe 651-0088, Japan * Author to whom correspondence should be addressed. † Presented at the 18th International Workshop on Advanced Infrared Technology and Applications (AITA 2025), Kobe, Japan, 15–19 September 2025. Proceedings 2025, 129(1), 36; https://doi.org/10.3390/proceedings2025129036 Published: 12 September 2025 Download keyboard_arrow_down Download PDF Download PDF with Cover Download XML Download Epub Browse Figures Versions Notes Keywords: heavy-duty anticorrosion coating; corrosion; near-infrared measurement 1. IntroductionLong-span steel bridges are coated with heavy-duty anticorrosion coatings consisting of several layers of paint to prevent corrosion of steel materials, as shown in Figure 1. For the maintenance of heavy-duty anticorrosion coatings, it is important to detect the deterioration of the top coat early, in other words, the exposure of the intermediate coat, since deterioration progresses rapidly once the top coat is lost. However, current maintenance methods rely on visual inspection, and more efficient and accurate detection methods need to be developed. Furthermore, paints of similar colors are often employed for the top and intermediate coats for the purpose of color matching; it is difficult to distinguish them in the visible range. Therefore, researchers proposed an evaluation method of the deterioration state of heavy-duty anticorrosion coatings based on the difference in the near-infrared spectral characteristics between the top coat with a weather-resistant paint, such as a fluorine resin paint, and the intermediate coat with an epoxy resin paint [1,2]. However, the evaluation method proposed by these authors requires that the spectral characteristics of each paint are measured in advance. We employed the near-infrared hyperspectral imaging system to obtain the spectral characteristics of the top and intermediate coats, and identified the wavelength range where the spectral characteristics of each paint differed. Next, we employed a near-infrared camera with a band-pass filter attached that transmitted only the wavelength range and cut other wavelength ranges, and we obtained near-infrared images. 2. Near-Infrared Hyperspectral Imaging SystemThe near-infrared hyperspectral imaging system is a technology that combines spectroscopic and image measurements. Figure 2 shows the appearance of the measurement system employed in this study. The system is composed of a lens, a slit, a spectroscopic meter, a near-infrared camera, a stage, and active lighting. Light entering the lens passes through the slit and becomes a vertical line of light, which is then split by the spectrometer. The split light is measured by horizontal pixel rows of the infrared image sensor, each assigned to a different wavelength. The horizontal range that can be measured at the same time is limited by the width of the slit, so the stage is used to move the system horizontally while continuously scanning to measure a specified range. In this way, a three-dimensional data cube consisting of two-dimensional position information (x, y) and wavelength spectral information (λ) of the pixel is constructed. By analyzing this data cube, the infrared spectral characteristics at specific points within the measurement range can be obtained. Furthermore, it is possible to construct an image that emphasizes the differences in the absorption and reflection characteristics of paints at an arbitrary wavelength within the sensitivity wavelength range. Using this system, it is possible to obtain infrared intensity data for each wavelength, which is divided into 640 parts in the near-infrared range from 900 to 1700 nm. During measurement, active lighting is used to illuminate the measurement target to compensate for the lack of infrared intensity. 3. Results and DiscussionThe measurement subject was the underside of the main girder of the long-span steel bridge. Figure 3 shows a visible image of the measurement location. The white areas in the visible image are the exposed areas of the intermediate coat. 3.1. Measurement Results from the Near-Infrared Hyperspectral Imaging SystemFigure 4a shows the spectra of the infrared reflection intensity of the top and intermediate coats at the measurement location, obtained using a near-infrared hyperspectral imaging system. There is a large difference in the spectra between the top coat and the exposed areas of the intermediate coat at around 1230 nm. Figure 4b shows a spectral image at 1230 nm constructed from the data cube for comparison with the wavelength range of the band-pass filter described below. From the spectral image, it is easier to detect the exposed areas of the intermediate coat compared to the visible image. The near-infrared hyperspectral imaging can be used to clearly detect the exposed areas of the intermediate coat by selecting the optimum wavelength at which the difference in infrared reflection intensity between the top and intermediate coats is large. 3.2. Verification Using the Near-Infrared Camera Attached a Band-Pass FilterNext, based on the results of the near-infrared hyperspectral imaging system, a band-pass filter that transmits only a specific wavelength range was attached to the near-infrared camera to obtain a near-infrared image. The band-pass filter has a central wavelength of 1230 [nm] and a half-width of 40 [nm]. Figure 5 shows the measurement result obtained using the near-infrared camera with the band-pass filter. In this image, it can be seen that the exposed areas of the intermediate coat are emphasized as bright areas. 4. ConclusionsThis experimental study showed that it is possible to detect exposure of an intermediate coat using a near-infrared hyperspectral imaging system and a near-infrared camera with a band-pass filter attached. These results can contribute to more efficient and appropriate maintenance of heavy-duty anticorrosion coatings of long-span steel bridges. Author ContributionsConceptualization, A.T., S.H., Y.O., D.S., T.S., K.F., H.K. and H.T.; methodology, A.T., S.H., Y.O., D.S., T.S., K.F., H.K. and H.T.; software, A.T. and S.H.; validation, A.T., S.H., Y.O., D.S., T.S., K.F., H.K. and H.T.; formal analysis, A.T. and S.H.; investigation, A.T., S.H., Y.O., D.S., T.S., K.F., H.K. and H.T.; resources, A.T., S.H., Y.O., D.S., T.S., K.F., H.K. and H.T.; data curation, A.T., S.H., Y.O., D.S. and T.S.; writing—original draft preparation, A.T. and Y.O.; writing—review and editing, A.T., S.H., Y.O., D.S., T.S., K.F., H.K. and H.T.; visualization, A.T., S.H., Y.O., D.S. and T.S.; supervision, A.T., Y.O. and T.S.; project administration, Y.O., D.S., T.S., K.F., H.K. and H.T.; funding acquisition, T.S., K.F., H.K. and H.T. All authors have read and agreed to the published version of the manuscript.FundingThis research was funded by a Grant-in-Aid for Scientific Research (B) JP 21H01213 and (c) JP 24K07216 from the Japan Society for the Promotion of Science.Institutional Review Board StatementNot applicable.Informed Consent StatementNot applicable.Data Availability StatementThe data are not publicly available.Conflicts of InterestAuthors Kenji Fujita, Haruhiko Kono and Hiroto Tamura were employed by Honshu-Shikoku Bridge Expressway Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.ReferencesSakata, T.; Kishigami, S.; Ogawa, Y.; Arima, N.; Nishitani, M.; Shiozawa, D.; Sakagami, T. Quantitative assessment of heavy-duty anticorrosion coating thickness via near-infrared measurements. NDT E Int. 2023, 138, 102893. [Google Scholar] [CrossRef]Kishigami, S.; Mizokami, Y.; Sakata, T.; Ogawa, Y.; Shiozawa, D.; Sakagami, T. Detection of heavy-duty anticorrosion coating deterioration using near-infrared spectral characteristics. NDT E Int. 2022, 132, 102708. [Google Scholar] [CrossRef] Figure 1. Schematic illustration of heavy-duty anticorrosion coating. Figure 1. Schematic illustration of heavy-duty anticorrosion coating. Figure 2. The near-infrared hyperspectral imaging system. Figure 2. The near-infrared hyperspectral imaging system. Figure 3. Visible image of the measurement location. Figure 3. Visible image of the measurement location. Figure 4. (a) Spectra of infrared reflection intensity for the top and the intermediate coats. (b) Spectral image at 1230 nm. Figure 4. (a) Spectra of infrared reflection intensity for the top and the intermediate coats. (b) Spectral image at 1230 nm. Figure 5. Infrared image obtained using the band-pass filter. Figure 5. Infrared image obtained using the band-pass filter. Disclaimer/Publisher's Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Share and Cite MDPI and ACS Style Tani, A.; Haruna, S.; Ogawa, Y.; Shiozawa, D.; Sakagami, T.; Fujita, K.; Kono, H.; Tamura, H. Assessment Technique for the Degradation of Heavy-Duty Anticorrosion Coatings on Long-Span Bridges Utilizing Near-Infrared Measurement. Proceedings 2025, 129, 36. https://doi.org/10.3390/proceedings2025129036 AMA Style Tani A, Haruna S, Ogawa Y, Shiozawa D, Sakagami T, Fujita K, Kono H, Tamura H. Assessment Technique for the Degradation of Heavy-Duty Anticorrosion Coatings on Long-Span Bridges Utilizing Near-Infrared Measurement. Proceedings. 2025; 129(1):36. https://doi.org/10.3390/proceedings2025129036 Chicago/Turabian Style Tani, Akinori, Shinsuke Haruna, Yuki Ogawa, Daiki Shiozawa, Takahide Sakagami, Kenji Fujita, Haruhiko Kono, and Hiroto Tamura. 2025. "Assessment Technique for the Degradation of Heavy-Duty Anticorrosion Coatings on Long-Span Bridges Utilizing Near-Infrared Measurement" Proceedings 129, no. 1: 36. https://doi.org/10.3390/proceedings2025129036 APA Style Tani, A., Haruna, S., Ogawa, Y., Shiozawa, D., Sakagami, T., Fujita, K., Kono, H., & Tamura, H. (2025). Assessment Technique for the Degradation of Heavy-Duty Anticorrosion Coatings on Long-Span Bridges Utilizing Near-Infrared Measurement. 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