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dc.contributor.authorDelgado, Juan Manuel Davila
dc.contributor.authorButler, Liam J
dc.contributor.authorBrilakis, Ioannis
dc.contributor.authorElshafie, Mohammed ZEB
dc.contributor.authorMiddleton, Campbell R
dc.date.accessioned2018-05-25T14:13:13Z
dc.date.available2018-05-25T14:13:13Z
dc.date.issued2018
dc.identifier.issn0887-3801
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/276220
dc.description.abstractStructural health monitoring data has not been fully leveraged to support asset management due to a lack of effective integration with other datasets. A Building Information Modelling (BIM) approach is presented to leverage structural monitoring data in a dynamic manner. The approach allows for the automatic generation of parametric BIM models of structural monitoring systems that include time-series sensor data; and it enables data-driven and dynamic visualisation in an interactive 3D environment. The approach supports dynamic visualisation of key structural performance parameters, allows for the seamless updating and long-term management of data, and facilitates data exchange by generating Industry Foundation Classes (IFC) compliant models. A newly-constructed bridge near Stafford, UK, with an integrated fibre-optic sensor based monitoring system was used to test the capabilities of the developed approach. The case study demonstrated how the developed approach facilitates more intuitive data interpretation, provides a user-friendly interface to communicate with various stakeholders, allows for the identification of malfunctioning sensors thus contributing to the assessment of monitoring system durability, and forms the basis for a powerful data-driven asset management tool. In addition, this project highlights the potential benefits of investing in the development of data-driven and dynamic BIM environments.
dc.publisherAmerican Society of Civil Engineers (ASCE)
dc.titleStructural Performance Monitoring Using a Dynamic Data-Driven BIM Environment
dc.typeArticle
prism.issueIdentifier3
prism.numberARTN 04018009
prism.publicationDate2018
prism.publicationNameJOURNAL OF COMPUTING IN CIVIL ENGINEERING
prism.volume32
dc.identifier.doi10.17863/CAM.23501
dcterms.dateAccepted2017-10-03
rioxxterms.versionofrecord10.1061/(ASCE)CP.1943-5487.0000749
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.licenseref.startdate2018-05
dc.contributor.orcidButler, Liam [0000-0002-4244-5142]
dc.contributor.orcidBrilakis, Ioannis [0000-0003-1829-2083]
dc.contributor.orcidElshafie, Mohammed [0000-0001-9908-5515]
dc.contributor.orcidMiddleton, Campbell [0000-0002-9672-0680]
dc.identifier.eissn1943-5487
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/L010917/1)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/N021614/1)
cam.issuedOnline2018-02-09


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