Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/1764
Title: Augmented reality for bridge condition assessment using advanced non-destructive techniques
Authors: Kilic, Gokhan
Caner, Alp
Keywords: Augmented reality
ground penetrating radar
infrared thermography
laser distance sensors
non-destructive techniques
telescopic camera
Statistical Process-Control
Infrared Thermography
Field Application
Concrete
Reliability
Behavior
Publisher: Taylor & Francis Ltd
Abstract: Over the past years, a remarkable number of bridges have been collapsed or failed worldwide, underlying the growing importance of condition assessment of bridge structures within the context of health monitoring of structures and their life cycles become important to prevent such events. If utilised correctly, advanced Non-Destructive Techniques (NDTs) have proved to be effective in detecting imperfections such as bridge deck delamination, crack formation, and rebar corrosion. This paper presents the benefits of using Augmented Reality (AR) technology, applied combined, with visual inspection, Ground Penetrating Radar (GPR), Laser Distance Sensors (LDS), Infrared Thermography (IRT), and Telescopic Camera (TC). Using this approach, a bridge was investigated for weaknesses such as cracks and rebar corrosion. The methodology implemented in this paper can enhance structural engineers and/or asset manager's decision making, related to applying advanced NDT to dynamically affected bridges.
URI: https://doi.org/10.1080/15732479.2020.1782947
https://hdl.handle.net/20.500.14365/1764
ISSN: 1573-2479
1744-8980
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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