A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Nondestructive Bridge Deck Evaluation Using Sub-mm 3D Laser Imaging Technology at Highway Speeds
https://orcid.org/0000-0002-0870-2440
Periodic bridge deck inspection is critically important in bridge management and maintenance. This paper presents a comprehensive bridge deck evaluation using sub-mm three-dimensional (3D) laser imaging technology in a nondestructive and efficient manner at highway speeds with complete lane coverage. A total of 58 bridge decks in Oklahoma were evaluated via Pave3D 8K system and 3D Safety Sensor. The Pave3D 8K system collected both 0.5-mm 3D height images, 2D grayscale images, and longitudinal profiler at highway speeds for bridge deck assessment in terms of distress detection and roughness evaluation. A Deep Learning-based method was applied to detect cracks automatically, and a manual tool was developed to label other distress for bridge decks and joints from the obtained images. Further, the 0.5-mm 3D images and longitudinal profiler data were combined to identify locations with roughness issues and the causes on bridge decks or approach slabs. Finally, the 3D Safety Sensor acquired 0.1-mm 2D/3D images for hydroplaning speed prediction of bridge decks. The evaluation results demonstrate the efficacy of the sub-mm 3D laser imaging technology for nondestructive bridge deck conditions and safety evaluations.
Nondestructive Bridge Deck Evaluation Using Sub-mm 3D Laser Imaging Technology at Highway Speeds
https://orcid.org/0000-0002-0870-2440
Periodic bridge deck inspection is critically important in bridge management and maintenance. This paper presents a comprehensive bridge deck evaluation using sub-mm three-dimensional (3D) laser imaging technology in a nondestructive and efficient manner at highway speeds with complete lane coverage. A total of 58 bridge decks in Oklahoma were evaluated via Pave3D 8K system and 3D Safety Sensor. The Pave3D 8K system collected both 0.5-mm 3D height images, 2D grayscale images, and longitudinal profiler at highway speeds for bridge deck assessment in terms of distress detection and roughness evaluation. A Deep Learning-based method was applied to detect cracks automatically, and a manual tool was developed to label other distress for bridge decks and joints from the obtained images. Further, the 0.5-mm 3D images and longitudinal profiler data were combined to identify locations with roughness issues and the causes on bridge decks or approach slabs. Finally, the 3D Safety Sensor acquired 0.1-mm 2D/3D images for hydroplaning speed prediction of bridge decks. The evaluation results demonstrate the efficacy of the sub-mm 3D laser imaging technology for nondestructive bridge deck conditions and safety evaluations.
Nondestructive Bridge Deck Evaluation Using Sub-mm 3D Laser Imaging Technology at Highway Speeds
https://orcid.org/0000-0002-0870-2440
Periodic bridge deck inspection is critically important in bridge management and maintenance. This paper presents a comprehensive bridge deck evaluation using sub-mm three-dimensional (3D) laser imaging technology in a nondestructive and efficient manner at highway speeds with complete lane coverage. A total of 58 bridge decks in Oklahoma were evaluated via Pave3D 8K system and 3D Safety Sensor. The Pave3D 8K system collected both 0.5-mm 3D height images, 2D grayscale images, and longitudinal profiler at highway speeds for bridge deck assessment in terms of distress detection and roughness evaluation. A Deep Learning-based method was applied to detect cracks automatically, and a manual tool was developed to label other distress for bridge decks and joints from the obtained images. Further, the 0.5-mm 3D images and longitudinal profiler data were combined to identify locations with roughness issues and the causes on bridge decks or approach slabs. Finally, the 3D Safety Sensor acquired 0.1-mm 2D/3D images for hydroplaning speed prediction of bridge decks. The evaluation results demonstrate the efficacy of the sub-mm 3D laser imaging technology for nondestructive bridge deck conditions and safety evaluations.
Nondestructive Bridge Deck Evaluation Using Sub-mm 3D Laser Imaging Technology at Highway Speeds
J. Bridge Eng.
Wang, Guolong (author) / Wang, Kelvin C. P. (author) / Yang, Guangwei (author) / Liu, Yang (author) / Li, Joshua Qiang (author) / Peters, Walt (author)
2022-06-01
Article (Journal)
Electronic Resource
English
Eads Bridge Highway Deck Reconstruction
| British Library Conference Proceedings | 2006
Eads Bridge Highway Deck Reconstruction
| ASCE | 2006