Automated Bridge Inspection using Digital Image Correlation Phase II – Application of Digital Image Correlation Techniques for In-Service Inspection Conditions

An experimental study will be undertaken in which a series of steel compact specimens (C(T)) and steel bridge girder components will be tested in the KU Structural Engineering Laboratory. Specimens will be loaded cyclically to introduce and propagate fatigue cracks, and a digital image correlation (DIC) will be used to develop capabilities for detecting and monitoring fatigue cracking. Building on the previous research project, the current study will examine the capabilities of the DIC system and methodology under in-service inspection conditions. Variable amplitude loading will be applied to simulate ambient traffic conditions, while paint patterns for the DIC will be altered to replicate environmental changes to the material surface. The previously developed crack identification methodology will be modified as necessary for application under in-service conditions, working towards the development of an automated crack identification methodology. This research program is anticipated to lead to implementation of DIC for automated bridge inspections as part of robotic bridge inspection systems in future projects related to automated crack inspection.

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