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dc.contributor.advisorSingh, Harpal
dc.contributor.authorKhademi, Mohammadreza
dc.date.accessioned2024-07-18T07:39:32Z
dc.date.available2024-07-18T07:39:32Z
dc.date.issued2024-05-15en
dc.description.abstractThe aging of civil infrastructure presents significant challenges in a global scale, necessitating innovative research techniques for effective solutions. Governments are increasingly compelled to allocate additional time and budgetary resources towards maintenance, repairs, or the construction of new structures to replace deteriorated or damaged ones. This allocation is essential to ensure the provision of adequate services to citizens. Implementing a digital twin of any structure can help for Structural health monitoring. This thesis is aimed to build a digital twin of Herøysund Bridge. Vibration data obtained from the field work is used for finite element model updating. Updated finite element model is more similar to the real world behaviour of the bridge. In this thesis, a comprehensive literature review is carried out on various methodologies, including experimental modal analysis, operational modal analysis, and finite element modal updating. Furthermore, a genetic optimization algorithm is used for the finite element model updating of the shell-based model of the Herøysund Bridge using Matlab. The process of finite model updating, using a genetic algorithm, demonstrates promising results for the parameters updated.en_US
dc.identifier.urihttps://hdl.handle.net/10037/34169
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universitetno
dc.publisherUiT The Arctic University of Norwayen
dc.rights.holderCopyright 2024 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subject.courseIDDTE-3900
dc.subjectDigital twinen_US
dc.subjectFinite element model updatingen_US
dc.titleDevelopment of Digital Twin of the Herøysund Bridge using Finite Element Model Updatingen_US
dc.typeMaster thesisen
dc.typeMastergradsoppgaveno


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)