Data Fusion for System Identification of the Humber Bridge

  • Michael Döhler
  • Bijaya Jaishi
  • Laurent Mevel
  • James M. W. Brownjohn
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)

Abstract

In Operational Modal Analysis (OMA) of large structures, ambient vibration data from multiple non-simultaneously recorded measurement setups is often needed to be processed. These setups share some sensors in common, while the others are moved from one setup to the next. Like this detailed mode shapes of the structure can be obtained, mimicking lots of sensors, while in fact only a few sensors are used for the measurements. Recently, the “Pre Global Estimation Re-Scaling” (PreGER) for the Stochastic Subspace Identification (SSI) was proposed to obtain global modal parameters of the structure. It is a fully automated method that takes differences in the unmeasured background excitation levels between the setups into account, merges the data and does the global system identification. Like this, the different measurement setups can be processed in one step and do not have to be analyzed separately. In this paper, system identification results of the Humber bridge are presented, which is a challenging example as a big number of setups is available and special measures need to be taken to avoid numerical explosion of the computation. The results are compared to the PoSER approach (Post Separate Estimation Re-Scaling) with data-driven SSI.

Keywords

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References

  1. 1.
    Basseville, M., Benveniste, A., Goursat, M., Hermans, L., Mevel, L., van der Auweraer, H.:Output-only subspace-based structural identification: from theory to industrial testing practice. Journal of Dynamic Systems, Measurement, and Control 123(4), 668–676 (2001)Google Scholar
  2. 2.
    Brownjohn, J., Dumanoglu, A., Severn, R., Taylor, C.: Ambient vibration measurements of the humber suspension bridge and comparison with calculated characteristics. In: Proc. of the Institution of Civil Engineers (London), vol. 83, pp. 561–600 (1987)Google Scholar
  3. 3.
    Brownjohn, J., Magalh˜aes, F., Caetano, E., Cunha, A.: Ambient vibration re-testing and operational modal analysis of the Humber Bridge. Engineering Structures 32(8), 2003–2018 (2010)Google Scholar
  4. 4.
    Cunha, A., Caetano, E., Delgado, R.: Dynamic tests on large cable-stayed bridge. Journal of Bridge Engineering 6(1), 54–62 (2001)CrossRefGoogle Scholar
  5. 5.
    Cunha, A., Caetano, E., Magalh˜aes, F.: Output-only dynamic testing of bridges and special structures. Structural Concrete 8(2), 67–86 (2007)Google Scholar
  6. 6.
    D¨ohler, M., Andersen, P., Mevel, L.: Data merging for multi-setup operational modal analysis with data-driven SSI. In: Proceedings of the 28th International Modal Analysis Conference (IMAC-XXVIII). Jacksonville, FL, USA (2010)Google Scholar
  7. 7.
    D¨ohler, M., Mevel, L.: Modular subspace-based system identification and damage detection on large structures. In: Proceedings of the 34th IABSE Symposium. Venice, Italy (2010)Google Scholar
  8. 8.
    D¨ohler, M., Reynders, E., Magalh˜aes, F., Mevel, L., Roeck, G.D., Cunha, A.: Pre- and postidentification merging for multi-setup OMA with covariance-driven SSI. In: Proceedings ofGoogle Scholar
  9. 9.
    the 28th International Modal Analysis Conference (IMAC-XXVIII). Jacksonville, FL, USA (2010)Google Scholar
  10. 10.
    Mevel, L., Basseville, M., Benveniste, A., Goursat, M.: Merging sensor data from multiple measurement setups for nonstationary subspace-based modal analysis. Journal of Sound and Vibration 249(4), 719–741 (2002)CrossRefGoogle Scholar
  11. 11.
    Mevel, L., Benveniste, A., Basseville, M., Goursat, M.: Blind subspace-based eigenstructure identification under nonstationary excitation using moving sensors. IEEE Transactions on Signal Processing SP-50(1), 41–48 (2002)Google Scholar
  12. 12.
    16 Michael D¨ohler, Bijaya Jaishi, Laurent Mevel, and James M.W. Brownjohn 11. van Overschee, P., De Moor, B.: Subspace Identification for Linear Systems: Theory, Implementation, Applications. Kluwer (1996)Google Scholar
  13. 13.
    Peeters, B., De Roeck, G.: Reference-based stochastic subspace identification for output-only modal analysis. Mechanical Systems and Signal Processing 13(6), 855–878 (1999)CrossRefGoogle Scholar

Copyright information

© Springer Science + Business Media, LLC 2011

Authors and Affiliations

  • Michael Döhler
    • 1
  • Bijaya Jaishi
    • 2
  • Laurent Mevel
    • 1
  • James M. W. Brownjohn
    • 2
  1. 1.INRIA, Centre Rennes - Bretagne AtlantiqueRennesFrance
  2. 2.Department of Civil & Structural EngineeringUniversity of SheffieldSheffieldUK

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