System Identification of a Three-Story Infilled RC Frame Tested on the UCSD-NEES Shake Table

  • Babak Moaveni
  • Andreas Stavridis
  • P. Benson Shing
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)

Abstract

A 2/3-scale, three-story, two-bay, infilled RC frame was dynamically tested on a shake-table. The test objectives were to assess the seismic performance of existing, non-ductile, infilled RC frames and provide data for the evaluation of newly developed analytical methods predicting the behavior of such structures. The shake-table tests were designed to induce damage on the structure progressively through scaled earthquake records of increasing intensity. Between the earthquake records, the response of the frame to low-amplitude ambient vibration and white-noise base excitation tests was measured. At these low levels of excitations, the structure can be considered as a quasi-linear system with parameters depending on the damage state. The deterministicstochastic subspace identification method based on system input and output signals has been used to estimate the modal parameters of the test structure at its various damage states. The identification is conducted considering the white-noise base excitation and the resulting structural response measured by accelerometers. The study has quantified the decrease of natural frequencies and the increase of structural damping at progressive damage states. The identified modal parameters have been used for damage identification of the infilled frame in a companion paper.

Keywords

Boulder 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Doebling, S.W., Farrar, C.R., Prime, M.B., and Shevitz, D.W. Damage identification in structures and mechanical systems based on changes in their vibration characteristics: a detailed literature survey. Los Alamos National Laboratory Report, LA-13070-MS, Los Alamos, New Mexico, USA, (1996).Google Scholar
  2. 2.
    Doebling, S.W., Farrar, C.R., and Prime, M.B. “A summary review of vibration-based damage identification methods.” The Shock and Vibration Digest, 30(2), 99–105, (1998).CrossRefGoogle Scholar
  3. 3.
    Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.D., Stinemates, D.W., and Nadler, B.R. A review of structural health monitoring literature: 1996–2001. Los Alamos National Laboratory Report, LA-13976-MS, Los Alamos, New Mexico, USA, (2003).Google Scholar
  4. 4.
    Moaveni, B., He, X., Conte, J.P., and Restrepo, J.I. “System identification study of a seven-story full-scale building slice tested on the UCSD-NEES shake table.” Journal of Structural Engineering, ASCE, under review, (2009).Google Scholar
  5. 5.
    Stavridis, A. and Shing P.B. “A study on masonry infilled non-ductile RC frames.” 2nd NEES/E-Defense Workshop, Miki, Japan, (2006).Google Scholar
  6. 6.
    Harris H.G., Sabnis G.M. “Structural modeling and experimental techniques.” CRC Press, Boca Raton, Florida, (1999).CrossRefGoogle Scholar
  7. 7.
    Stavridis, A. Analytical and experimental seismic performance assessment of masonry-infilled RC frames. Ph.D. Dissertation, Department of Structural Engineering, University of California, San Diego, CA, (2009).Google Scholar
  8. 8.
    He, X., Moaveni, B., Conte, J.P., Elgamal A., and Masri, S.F. “System identification of Alfred Zampa Memorial Bridge using dynamic field test data.” Journal of Structural Engineering, ASCE, 135(1), 54–66, (2009).CrossRefGoogle Scholar
  9. 9.
    Ozcelik, O. A Mechanics-based virtual model of NEES-UCSD shake table: theoretical development and experimental validation. Ph.D. Dissertation, Department of Structural Engineering, University of California, San Diego, CA, (2008).Google Scholar
  10. 10.
    Van Overschee, P., and de Moore, B. Subspace identification for linear systems. Kluwer Academic Publishers, Massachusetts, USA, (1996).Google Scholar
  11. 11.
    Veletsos, A.S., and Ventura, C.E. “Modal analysis of non-classically damped linear systems.” Earthquake Engineering and Structural Dynamics, 14(2), 217–243, (1986).CrossRefGoogle Scholar
  12. 12.
    Allemang, R.J., and Brown, D.L. “A correlation coefficient for modal vector analysis.” Proc. of 1st International Modal Analysis Conference, Bethel, Connecticut, (1982).Google Scholar
  13. 13.
    Moaveni, B., Lombaert, G., Stavridis, A., Conte, J.P., and Shing, P.B. “Damage identification of a three-story infilled RC frame tested on the UCSD-NEES shake table.” Proc. of 28th International Modal Analysis Conference, Jacksonville, FL, (2010).Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Babak Moaveni
    • 1
  • Andreas Stavridis
    • 2
  • P. Benson Shing
    • 2
  1. 1.Department of Civil & Environmental EngineeringTufts UniversityMedfordUSA
  2. 2.Department of Structural EngineeringUniversity of CaliforniaSan DiegoUSA

Personalised recommendations