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Global Response Reconstruction of a Full-Scale 3D Structure Model Using Limited Multi-Response Data

  • Namju Byun
  • , Joo Young Won
  • , Jeonghwa Lee
  • , Yunwoo Lee
  • , Young Jong Kang
  • Korea University
  • Kongju National University
  • Chungbuk National University

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Structural response analysis using a limited amount of multi-response data (SRALMR), which can reconstruct the global response of a structure using limited data, was recently established based on the shape superposition and least-squares methods. In addition, the SRALMR was validated using a finite element (FE) model of a simple beam, truss, and cable-stayed bridge. However, because of the difference in complexity between the 2D and 3D responses, validation using only a 2D model is insufficient to ensure successful application of the SRALMR to on-site structures. Therefore, in this study, the SRALMR was validated using a full-scale FE model of an on-site target bridge in Korea. The FE model was constructed in 3D using shell and beam elements, and six target load cases were considered, with the global 3D deformation and stress reconstructed using limited displacement, slope, and strain data. The results showed that the global 3D deformation and stress can be properly reconstructed using the SRALMR.

Original languageEnglish
Article number075113
Pages (from-to)1336-1346
Number of pages11
JournalInternational Journal of Steel Structures
Volume24
Issue number6
DOIs
StatePublished - Dec 2024

Keywords

  • Multi-response data
  • Response reconstruction
  • Shape superposition method
  • Steel bridge
  • Structural health monitoring

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