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dc.contributor.authorShabbir, Faisal
dc.contributor.authorOmenzetter, Piotr
dc.date.accessioned2017-08-01T23:01:20Z
dc.date.available2017-08-01T23:01:20Z
dc.date.issued2016-08-01
dc.identifier.citationShabbir , F & Omenzetter , P 2016 , ' Model updating using genetic algorithms with sequential niche technique ' Engineering Structures , vol. 120 , pp. 166-182 . https://doi.org/10.1016/j.engstruct.2016.04.028en
dc.identifier.issn0141-0296
dc.identifier.otherPURE: 65398756
dc.identifier.otherPURE UUID: 15d6d9f4-2bf1-4512-8dc1-5b216cfbb57c
dc.identifier.otherScopus: 84966697366
dc.identifier.otherORCID: /0000-0001-9363-4878/work/23920414
dc.identifier.urihttp://hdl.handle.net/2164/9051
dc.identifier.urihttp://authors.elsevier.com/a/1S~7WW4G4BhLEen
dc.descriptionThe authors would like to express their gratitude to organizations and people that supported this research. Piotr Omenzetter’s work within the Lloyd’s Register Foundation Centre for Safety and Reliability Engineering at the University of Aberdeen is supported by Lloyd’s Register Foundation. The Foundation helps to protect life and property by supporting engineering-related education, public engagement and the application of research. Ben Ryder of Aurecon and Graeme Cummings of HEB Construction assisted in obtaining access to the bridge and information for modelling. Luke Williams and Graham Bougen, undergraduate research students, assisted with testing.en
dc.format.extent17en
dc.language.isoeng
dc.relation.ispartofEngineering Structuresen
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectcable-stayed bridgeen
dc.subjectdeceptive problemen
dc.subjectglobal optimization algorithmsen
dc.subjectinverse problemen
dc.subjectmodel updatingen
dc.subjectmultiple minimaen
dc.subjectgenetic algorithmen
dc.subjectsequential niche techniqueen
dc.subjectstructural optimizationen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subject.lccTAen
dc.titleModel updating using genetic algorithms with sequential niche techniqueen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen, Engineeringen
dc.contributor.institutionUniversity of Aberdeen, Energyen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1016/j.engstruct.2016.04.028
dc.date.embargoedUntil03-05-20


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