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Novel Damage Index-Based Rapid Evaluation Of Civil Infrastructure Subsurface Defects Using Thermography Analytics, Tianjie Zhang, Md Asif Rahman, Alex Peterson, Yang Lu

Civil Engineering Faculty Publications and Presentations

The qualitative measurement is a common practice in infrastructure condition inspection when using Infrared Thermography (IRT), as it can effectively locate the defected area non-destructively and non-contact. However, a quantitative evaluation becomes more significant because it can help decision makers figure out specific compensation plans to deal with defects. In this work, an IRT-based novel damage index, damage density, was proposed to quantify the significance of subsurface defects. This index is extracted from IR images using our thermography analytics framework. The proposed framework includes thermal image processing, defect edge detection, and thermal gradient map calculations. A modified root mean square …