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Determining minimum analysis conditions of scale ratio change to evaluate modal damping ratio in long-span bridge

  • Oh, Seungtaek (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Lee, Hoyeop (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Yhim, Sung-Soon (Department of Civil Engineering, University of Seoul) ;
  • Lee, Hak-Eun (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Chun, Nakhyun (Structural & Seismic Tech. Group, KEPCO Research Institute)
  • Received : 2017.07.20
  • Accepted : 2018.06.27
  • Published : 2018.07.25

Abstract

Damping ratio and frequency have influence on dynamic serviceability or instability such as vortex-induced vibration and displacement amplification due to earthquake and critical flutter velocity, and it is thus important to make determination of damping ratio and frequency accurate. As bridges are getting longer, small scale model test considering similitude law must be conducted to evaluate damping ratio and frequency. Analysis conditions modified by similitude law are applied to experimental test considering different scale ratios. Generally, Nyquist frequency condition based on natural frequency modified by similitude law has been used to determine sampling rate for different scale ratios, and total time length has been determined by users arbitrarily or by considering similitude law with respect to time for different scale ratios. However, Nyquist frequency condition is not suitable for multimode system with noisy signals. In addition, there is no specified criteria for determination of total time length. Those analysis conditions severely affect accuracy of damping ratio. The focus of this study is made on the determination of minimum analysis conditions for different scale ratios. Influence of signal to noise ratio is studied according to the level of noise level. Free initial value problem is proposed to resolve the condition that is difficult to know original initial value for free vibration. Ambient and free vibration tests were used to analyze the dynamic properties of a system using data collected from tests with a two degree-of-freedom section model and performed on full bridge 3D models of cable stayed bridges. The free decay is estimated with the stochastic subspace identification method that uses displacement data to measure damping ratios under noisy conditions, and the iterative least squares method that adopts low pass filtering and fourth order central differencing. Reasonable results were yielded in numerical and experimental tests.

Keywords

References

  1. Bartoli G., Contri S., Mannini C. and Righi M. (2009), "Toward an improvement in the identification of bridge deck flutter derivatives", J. Eng. Mech,-ASCE, 135(8), 771-785. https://doi.org/10.1061/(ASCE)0733-9399(2009)135:8(771)
  2. Bogunovic Jakobsen, J. and Hjorth-Hansen, E. (1995), "Determination of the aerodynamic derivatives by a system identification method", J. Wind Eng. Ind. Aerod., 57(2-3), 295-305. https://doi.org/10.1016/0167-6105(95)00006-D
  3. Buckingham, E. (1914), "On physically similar systems; illustrations of the use of dimensional equations", Phys. Rev., 4(4), 345-376. https://doi.org/10.1103/PhysRev.4.345
  4. Buckingham, E. (1915), "The principle of similitude", Nature, 96(2406), 396-397.
  5. Chowdhury, A.G. and Sarkar, P.P. (2003), "A new technique for identification of eighteen flutter derivatives using a threedegree-of-freedom section model", Eng. Struct., 25(14), 1763-1772. https://doi.org/10.1016/j.engstruct.2003.07.002
  6. Cho, S.J., Yun, C.B. and Sim, S.H. (2015), "Displacement estimation of bridge structures using data fusion of acceleration and strain measurement incorporating finite element model", Smart Struct. Syst., 15(3), 645-663. https://doi.org/10.12989/sss.2015.15.3.645
  7. Chun, N.H. (2017), "Damping evaluation of aerodynamic bridge test model based on modified system identification method", Ph.D. Thesis, Korea University, Seoul, Republic of Korea.
  8. Chun, N.H., Moon, J.H. and Lee, H.E. (2017), "Alternative numerical method for identification of flutter on free vibration", Wind Struct., 24(4), 351-365. https://doi.org/10.12989/was.2017.24.4.351
  9. Chu, P.C. and Fan, C. (1998), "A three-point combined compact difference scheme", J. Comput. Phys., 140(2), 370-399. https://doi.org/10.1006/jcph.1998.5899
  10. Condon, J.J. and Ransom, S.M. (2016), Essential Radio Astronomy, Princeton University Press.
  11. Craig, R.R. and Kurdila, A.J. (2006), Fundamentals of structural dynamics, John Wiley & Sons, Inc.
  12. Ghilani, C.D. and Wolf, P.R. (2006), Adjustment computations: spatial data analysis, John Wiley and Sons, Inc.
  13. Grenander, U. (1959), Probability and Statistics: The Harald Cramer Volume, Almqvist & Wiksell.
  14. James, H.M., Ronald, W.S. and Mark, A.Y. (2003), Signal Processing First, Prentice Hall.
  15. Juang, J.N. and Pappa, R.S. (1985), "An eigensystem realization algorithm for modal parameter identification and model reduction", J. Guid. Control Dynam., 8(5), 620-627. https://doi.org/10.2514/3.20031
  16. KSCE (Korean Society of Civil Engineers) (2006), Design guidelines for steel cable-supported bridges, Seoul, South Korea (in Korean).
  17. Magalhaes, F., Cunha, A., Caetano, E. and Brincker, R (2010), "Damping estimation using free decays and ambient vibration tests", Mech. Syst. Signal Pr., 24(5), 1274-1290. https://doi.org/10.1016/j.ymssp.2009.02.011
  18. Nagarajaiah, S. and Yang, Y.C. (2015), "Blind modal identification of output-only non-proportionally-damped structures by time-frequency complex independent component analysis", Smart Struct. Syst., 15(1), 81-97. https://doi.org/10.12989/sss.2015.15.1.081
  19. Overscjee, P.V. and Moor, B.D. (1996), Subspace Identification for linear systems, Kluwer academic publishers.
  20. Peeters, B. and Roeck, G.D. (2001), "Stochastic system identification for operational modal analysis: a review", J. Dyn. Syst. Meas. Control, 123(4), 659-667. https://doi.org/10.1115/1.1410370
  21. Sarkar, P.P. (1992), "New-identification methods applied to the response of flexible bridges to wind", Ph.D. Thesis, MD: The Johns Hopkins University, Baltimore, US.
  22. Simiu, E. and Scanlan, R.H. (1996), Wind effects on structures, 3rd Ed., New York, John Wiley & Sons.