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      Model updating using genetic algorithms with sequential niche technique

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      Paper_GASNT_21.docx (12.22Mb)
      Publication date
      01/08/2016
      Author
      Shabbir, Faisal
      Omenzetter, Piotr
      Keywords
      cable-stayed bridge
      deceptive problem
      global optimization algorithms
      inverse problem
      model updating
      multiple minima
      genetic algorithm
      sequential niche technique
      structural optimization
      TA Engineering (General). Civil engineering (General)
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      Citation
      Shabbir, 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.2016.04.028
      Publication
      Engineering Structures
      Status
      Peer reviewed
      DOI
      https://doi.org/10.1016/j.engstruct.2016.04.028
      ISSN
      0141-0296
      Type
      Journal article
      Description
      The 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.
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      • Engineering research
      • University Office research
      URL
      http://authors.elsevier.com/a/1S~7WW4G4BhLE
      URI
      http://hdl.handle.net/2164/9051

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