Infrared thermography and 3D pavement surface unevenness measurement algorithm for damage assessment of concrete bridge decks

Abstract

Deterioration of the concrete deck surface, including disintegration and delamination between the deck slab and pavement, presents significant challenges in bridge maintenance due to its hidden nature and the risk it poses to the deck's durability as damage progresses. Early detection is critical for preventing issues such as pothole formation and ensuring long-term durability. However, traditional methods require core sampling, which often delays detection until damage is extensive. This study proposes a nondestructive approach combining infrared thermography (IRT) and laser-based surface profiling to improve early detection of subsurface damage. IRT captures temperature variations on the pavement surface, detecting horizontal voids and moisture, while laser profiling refines the detection of deeper, progressive damage. By integrating these two methods, the technique offers a comprehensive assessment that single-method approaches cannot provide. Field validation demonstrates that this method enables precise evaluation of bridge deck conditions, contributing to safer and more efficient bridge maintenance.