Augmented Reality for Bridge Condition Assessment Using Advanced Non-Destructive Techniques

dc.contributor.author Kilic, Gokhan
dc.contributor.author Caner, Alp
dc.date.accessioned 2023-06-16T14:24:52Z
dc.date.available 2023-06-16T14:24:52Z
dc.date.issued 2021
dc.description.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. en_US
dc.identifier.doi 10.1080/15732479.2020.1782947
dc.identifier.issn 1573-2479
dc.identifier.issn 1744-8980
dc.identifier.scopus 2-s2.0-85087555017
dc.identifier.uri https://doi.org/10.1080/15732479.2020.1782947
dc.identifier.uri https://hdl.handle.net/20.500.14365/1764
dc.language.iso en en_US
dc.publisher Taylor & Francis Ltd en_US
dc.relation.ispartof Structure And Infrastructure Engıneerıng en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Augmented reality en_US
dc.subject ground penetrating radar en_US
dc.subject infrared thermography en_US
dc.subject laser distance sensors en_US
dc.subject non-destructive techniques en_US
dc.subject telescopic camera en_US
dc.subject Statistical Process-Control en_US
dc.subject Infrared Thermography en_US
dc.subject Field Application en_US
dc.subject Concrete en_US
dc.subject Reliability en_US
dc.subject Behavior en_US
dc.title Augmented Reality for Bridge Condition Assessment Using Advanced Non-Destructive Techniques en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id KILIC, GOKHAN/0000-0001-6928-226X
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gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp [Kilic, Gokhan] Izmir Univ Econ, Dept Civil Engn, Sakarya Cad, TR-35330 Izmir, Turkey; [Caner, Alp] Middle East Tech Univ, Dept Civil Engn, Ankara, Turkey en_US
gdc.description.endpage 989 en_US
gdc.description.issue 7 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 977 en_US
gdc.description.volume 17 en_US
gdc.description.wosquality Q2
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gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0201 civil engineering
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gdc.opencitations.count 33
gdc.plumx.crossrefcites 1
gdc.plumx.mendeley 50
gdc.plumx.scopuscites 31
gdc.scopus.citedcount 31
gdc.virtual.author Kılıç, Gökhan
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