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https://hdl.handle.net/20.500.14365/1764
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DC Field | Value | Language |
---|---|---|
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.identifier.issn | 1573-2479 | - |
dc.identifier.issn | 1744-8980 | - |
dc.identifier.uri | https://doi.org/10.1080/15732479.2020.1782947 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14365/1764 | - |
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.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 |
dc.identifier.doi | 10.1080/15732479.2020.1782947 | - |
dc.identifier.scopus | 2-s2.0-85087555017 | en_US |
dc.department | İzmir Ekonomi Üniversitesi | en_US |
dc.authorid | KILIC, GOKHAN/0000-0001-6928-226X | - |
dc.authorscopusid | 40761843000 | - |
dc.authorscopusid | 21740889200 | - |
dc.identifier.volume | 17 | en_US |
dc.identifier.issue | 7 | en_US |
dc.identifier.startpage | 977 | en_US |
dc.identifier.endpage | 989 | en_US |
dc.identifier.wos | WOS:000549458500001 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q1 | - |
dc.identifier.wosquality | Q2 | - |
item.grantfulltext | reserved | - |
item.openairetype | Article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 05.03. Civil Engineering | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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File | Size | Format | |
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1764.pdf Restricted Access | 4.04 MB | Adobe PDF | View/Open Request a copy |
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