The increasing traffic volume and heavier loads on the city’s extensive network of bridges and highways have created challenges in establishing a reliable and efficient inspection system for road safety. Researchers at The Hong Kong Polytechnic University (PolyU) have designed an intelligent model with a multi-tier structure to improve the detection and evaluation of both surface and subsurface defects in concrete bridges, enhancing infrastructure sustainability.
High temperatures and humidity accelerate corrosion of reinforcing bars and deterioration of concrete, which result in cracks, spalling, and weakening of structural integrity. These problems are intensified in dense urban areas, where conducting inspections and repairs is especially difficult.
Visual inspection remains the primary approach to evaluating structural conditions but often misses subsurface defects like rebar corrosion.
“While visual inspection (VI) remains the primary method for assessing structural conditions, it often fails to identify subsurface defects such as rebar corrosion.”
To address these shortcomings, PolyU researchers developed a multi-level intelligent inspection system that advances the detection of both surface and hidden defects, aiming to create a safer and more sustainable public infrastructure.
This innovation represents a significant step toward overcoming logistical and technical challenges in urban infrastructure maintenance, promising improved safety and longevity for concrete bridges under increasing stress.
“The intelligent model with a multi-tier design advances the inspection and evaluation process for surface and subsurface defect detection and safety of concrete bridges.”
Author's summary: PolyU's multi-tier intelligent inspection system enhances bridge safety by detecting hidden defects, offering a sustainable solution for urban infrastructure challenges.