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dc.contributor.authorSingh, Harpal
dc.contributor.authorGrip, Niklas
dc.date.accessioned2020-03-20T13:15:12Z
dc.date.available2020-03-20T13:15:12Z
dc.date.issued2019
dc.description.abstractAging of infrastructure causes many problems with great consequences, essentially economical. Operation modal analysis (OMA) is one of the most crucial techniques used for dynamic analysis of civil engineering structures (e.g. bridges, dams or tunnels). OMA uses various time and frequency domain methods to obtain the modal parameters. The analysis of OMA techniques can be used to detect, locate and quantify the damage in a structure. The major challenge for damage detection using OMA is the analysis of a large amount of noisy data collected from sensors. New signal processing techniques and artificial intelligence can play an important role in future research in the area. In this article, we present and discuss recent developments in OMA techniques and also give a concrete example on a steel truss bridge, where the most popular OMA techniques have been implemented and applied.en_US
dc.identifier.citationSingh, H., Grip, N.(2019) Recent trends in operation modal analysis techniques and its application on a steel truss bridge.<i> Nonlinear Studies, 26</i>, (4), 911-927en_US
dc.identifier.cristinIDFRIDAID 1754660
dc.identifier.issn1359-8678
dc.identifier.urihttps://hdl.handle.net/10037/17819
dc.language.isoengen_US
dc.publisherI&S Publisheren_US
dc.relation.ispartofSingh, H. (2022). Some new mathematical and engineering results connected to structural problems. (Doctoral thesis). <a href=https://hdl.handle.net/10037/24247>https://hdl.handle.net/10037/24247</a>
dc.relation.journalNonlinear Studies
dc.rights.accessRightsopenAccessen_US
dc.rights.holderI&S Publishersen_US
dc.subjectVDP::Mathematics and natural science: 400::Mathematics: 410en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410en_US
dc.titleRecent trends in operation modal analysis techniques and its application on a steel truss bridgeen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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