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dc.contributor.authorChan, Brodie
dc.contributor.authorGuan, Hong
dc.contributor.authorHou, Lei
dc.contributor.authorJo, Jun
dc.contributor.authorBlumenstein, Michael
dc.contributor.authorWang, Jun
dc.date.accessioned2017-10-12T04:20:45Z
dc.date.available2017-10-12T04:20:45Z
dc.date.issued2016
dc.identifier.issn2190-5452
dc.identifier.doi10.1007/s13349-016-0191-6
dc.identifier.urihttp://hdl.handle.net/10072/101069
dc.description.abstractCurrent bridge inspection practices are typically predicated upon manual paper-based data collection methods, which significantly limit the ability to transfer knowledge gained throughout the lifecycle of the asset, to benefit the assessment of the inspector or engineer. This study aims to overcome the limitations of current practices and proposes a conceptual framework to improve the reliability and efficiency of current bridge asset management practices through the integration of Building Information Modeling (BIM) and advanced computing and imaging technologies. As a tool for bridge inspections, BIM offers significant potential when integrated with laser scanning and keypoint-based texture recognition, which allows for the detection of such defects as cracking, corrosion or settlement in bridge components. In recent years, the construction industry has seen an increased use of BIM technology on-site to aid the construction process. However, the applications of it are deficient through the asset management phases of a project. Given the ability of BIM to house all component specific information gathered from the construction, inspection and maintenance phases, BIM is envisioned to allow emphasis to be placed on retrieving the relevant information throughout the project lifecycle, ultimately enabling engineers and bridge inspectors to make more informed decisions about the current condition of the structure. Using BIM as the focal point for information collection throughout the project lifecycle, findings from advanced imaging and data processing are proposed to be stored within the model for recall at future bridge assessments.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofpagefrom703
dc.relation.ispartofpageto714
dc.relation.ispartofissue4
dc.relation.ispartofjournalJournal of Civil Structural Health Monitoring
dc.relation.ispartofvolume6
dc.subject.fieldofresearchTechnology not elsewhere classified
dc.subject.fieldofresearchCivil Engineering
dc.subject.fieldofresearchcode109999
dc.subject.fieldofresearchcode0905
dc.titleDefining a conceptual framework for the integration of modelling and advanced imaging for improving the reliability and efficiency of bridge assessments
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionAccepted Manuscript (AM)
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 2016 Springer Berlin Heidelberg. This is an electronic version of an article published in Journal of Civil Structural Health Monitoring, September 2016, Volume 6, Issue 4, pp 703–714. Journal of Civil Structural Health Monitoring is available online at: http://link.springer.com/ with the open URL of your article.
gro.hasfulltextFull Text
gro.griffith.authorBlumenstein, Michael M.
gro.griffith.authorGuan, Hong
gro.griffith.authorJo, Jun
gro.griffith.authorChan, Brodie YM.
gro.griffith.authorHou, Lei


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