Abstract: Recent infrastructure inspection has used deep-learning models to enhance and augment typical inspection tasks such as detecting and quantifying damage. One of the issues with this trend is that deep-learning models typically ...

Abstract: The purpose of this research is to propose a means to address two issues faced by unmanned aerial vehicles (UAVs) during bridge inspection. The first issue is that UAVs have a notoriously difficult time operating near ...

Abstract: This paper uses nonlinear analysis to determine the impact of corrosion-induced damage on the load-carrying capacity of prestressed concrete bridge girders. The analyses rely on two types of models, namely, beam models and ...

Abstract: This paper introduces a computational simulation scheme to describe the intrusion of corrosion-inducing chloride ions in prestressed bridge girders. This phenomenon impacts the durability of bridges in coastal zones or ...