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A comparison of modal parameter identification tests in laboratory conditions

Author(s): (Slovenian National Building and Civil Engineering Institute, Department for Structures Ljubljana Slovenia)
(Slovenian National Building and Civil Engineering Institute, Department for Structures Ljubljana Slovenia)
(Slovenian National Building and Civil Engineering Institute, Department for Structures Ljubljana Slovenia)
(Slovenian National Building and Civil Engineering Institute, Department for Structures Ljubljana Slovenia)
(Slovenian National Building and Civil Engineering Institute, Department for Structures Ljubljana Slovenia)
Medium: journal article
Language(s): English
Published in: ce/papers, , n. 5, v. 6
Page(s): 315-321
DOI: 10.1002/cepa.2042
Abstract:

Modal parameter evaluation is widely used for structural health monitoring, damage detection, and numerical model calibration. This study benchmarks two methods for modal identification under controlled laboratory conditions using operational modal analysis to compare dynamic parameters from ambient vibrations and shaker tests. A 2‐storey 3D spatial steel frame equipped with 3‐axial accelerometers is used as a case study. The identified dynamic parameters are benchmarked against a preliminary finite element model by computing Auto‐MAC and MAC matrices. It can be concluded that the preliminary FEM approach performs better in the prediction of modes shapes than natural frequencies. It was found that analysing the structural response to both ambient and artificially induced excitations provide a more complete understanding of a structure's dynamic characteristics. An additional mode shape was identified from the artificially induced excitation that was not previously captured from the ambient excitation.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1002/cepa.2042.
  • About this
    data sheet
  • Reference-ID
    10767216
  • Published on:
    17/04/2024
  • Last updated on:
    17/04/2024
 
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