Cavity Detection in Steel-Pipe Culverts Using Infrared Thermography

Finding efficient and less expensive techniques for different aspects of culvert inspection is in great demand. This study assesses the potential infrared thermography (IRT) to detect presence cavities soil around a culvert, specifically adjacent pipe galvanized culverts. To identify cavities, we analyze thermograms, generated via long pulse thermography, using absolute thermal contrast, principal components statistical approach along with combination pre- post-processing algorithms. Using several experiments, evaluate performance IRT accomplishing given task. Empirical results show promising future application this inspection. The size location are among that can be extracted from analyzing thermograms. key finding research proposed provide useful information about certain type problem which may indicate early stage cavity formation. Becoming aware process earlier stages will certainly help prevent any costly incidents later.