Image processing methodology for detecting delaminations using infrared thermography in CFRP-jacketed concrete members by infrared thermography

This study presents a methodology for detecting delaminations in carbon fiber reinforced polymer (CFRP)-jacketed concrete structures by infrared thermography. Four specimens with artificial were evaluated through passive experiments under different weather conditions including winter, summer, sunny, and rainy conditions. The test parameters considered the included size, depth, surface cover mortar, water content delamination void. detected regions boundary recognition based on differences temperature variations during period. It could detect more efficiently accurately than visual assessments thermal images. Furthermore, few that undetectable images after image processing proposed methodology. In addition, accuracy of results was significantly affected time period testing data-collection intervals. We discuss recommended values obtained parametric analysis implement an application example using method deep learning experimental data.