Bridges are critical components of transportation infrastructure, requiring regular inspection to ensure safety and longevity. Traditional bridge inspection methods, such as visual assessment and contact-based techniques, often suffer from limitations in accessibility, efficiency, and data consistency. This dissertation presents a UAV-based Ground-Penetrating Radar (GPR) system designed for non-destructive evaluation (NDE) of bridge structures, enabling rapid and high-resolution subsurface imaging. The proposed system integrates a lightweight, airborne GPR mounted on an unmanned aerial vehicle (UAV), providing a novel approach to detecting structural anomalies such as rebar corrosion, voids, and delamination in bridge decks.
History
Advisor
Danilo Erricolo
Department
Electrical and Computer Engineering
Degree Grantor
University of Illinois Chicago
Degree Level
Doctoral
Degree name
PhD, Doctor of Philosophy
Committee Member
Ahmet Cetin
Lesley Sneed
Konrad Kaczmarski
Ehud Heyman
Francesco Soldovieri
Ilaria Catapano