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Improvement of Scanlan’s Nonlinear Model based on Residual Analysis

  • Structural Engineering
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

Scanlan’s semi-empirical nonlinear model has been widely applied in bridge engineering because of its simplicity. However, it is based on the oscillation displacement, and thus it fails to describe the Vortex-induce Vertical Force (VIVF) on a flat closed-box bridge deck. In the study, in order to better depict VIVFs, a new improved model was proposed. First, the residual of the Vortexinduced Vertical Force (VIVF) is regular and maintains the significant quadratic relation with the VIVF reconstructed by Scanlan’s model, which means Scanlan’s model needs to be improved by adding quadratic terms. Second, an appropriate quadratic term was a dot product of dimensionless displacement and velocity, because this term has a significant linear relation with the reconstructed VIVF in the residual plot, and is independent of the other terms in Scanlan’s model. Furthermore, in lock-in range, the maximum oscillation displacement of a blunt body at different wind speeds was predicted by the proposed model. Simulation results showed that the proposed model is suitable for describing the nonlinearity of the VIVF and well fit the measured data. Due to simplicity, validity, and parameters to be easily identified, the proposed model has potential application in engineering.

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References

  • Anscombe, F. J. and Tukey, J. W. (1963). “The examination and analysis of residuals.” Technometrics, Vol. 5, No. 2, pp. 141–160, DOI: 10.2307/1266059.

    Article  MathSciNet  MATH  Google Scholar 

  • Battista, R. C. and Pfeil, M. S. (2000). “Reduction of vortex-induced oscillations of Rio–Niterói bridge by dynamic control devices.” Journal of Wind Engineering & Industrial Aerodynamics, Vol. 84, No. 3, pp. 273–288, DOI: 10.1016/S0167-6105(99)00108-7.

    Article  Google Scholar 

  • Bittner, R. B., Safaqah, O., Zhang, X., and Jensen, O. J. (2007). “Design and construction of the sutong bridge foundations.” DFI Journal -The Journal of the Deep Foundations Institute, Vol. 1, No. 1, pp. 2–18, DOI: 10.1179/dfi.2007.001.

    Article  Google Scholar 

  • Dowell, E. H. (1981). “Non-linear oscillator models in bluff body aeroelasticity.” Journal of Sound & Vibration, Vol. 75, No. 2, pp. 251–264, DOI: 10.1016/0022-460X(81)90343-6.

    Article  MATH  Google Scholar 

  • Draper, N. R. and Smith, H. (1998). Applied regression analysis, John Wiley & Sons, New York, ISBN: 978-0-471-17082-2.

    Book  MATH  Google Scholar 

  • Eberhart, R. C. and Shi, Y., (2001). “Tracking and optimizing dynamic systems with particle swarms.” Proceedings of the 2001 Congress on Evolutionary Computation, Seoul, South Korea, pp. 94–100.

    Google Scholar 

  • Ehsan, F. (1989). The vortex-induced response of long, suspended-span bridges, PhD Dissertation, Johns Hopkins University, Baltimore, MD, USA.

    Google Scholar 

  • Ehsan, F. and Scanlan, R. H. (1990). “Vortex-induced vibrations of flexible bridges.” Journal of Engineering Mechanics, Vol. 116, No. 6, pp. 1392–1411, DOI: 10.1061/(ASCE)0733-9399(1990)116:6(1392).

    Article  Google Scholar 

  • Fox, J. and Fox, J. (1991). Regression diagnostics: An introduction, Sage Pubn Inc, DOI: 10.2307/2348998.

    Book  Google Scholar 

  • Fujino, Y. and Yoshida, Y. (2002). “Wind-Induced vibration and control of trans-tokyo bay crossing bridge.” Journal of Structural Engineering, Vol. 128, No. 8, pp. 1012–1025, DOI: 10.1061/(ASCE)0733-9445 (2002)128:8(1012).

    Article  Google Scholar 

  • Guo, J. (2010). “Key technical innovation of Xihoumen Bridge—the longest steel box gird suspension bridge in the world.” Engineering Sciences, Vol. 8, No. 4, pp. 18–22.

    Google Scholar 

  • Gupta, H., Sarkar, P. P., and Mehta, K. C. (1996). “Identification of vortex-induced-response parameters in time domain.” Journal of Engineering Mechanics, Vol. 122, No. 11, pp. 1031–1037, DOI: 10.1061/(ASCE)0733-9399(1996)122:11(1031).

    Article  Google Scholar 

  • Larsen, A. (1995). “A generalized model for assessment of vortex-induced vibrations of flexible structures.” Journal of Wind Engineering & Industrial Aerodynamics, Vol. 57, No. 2, pp. 281–294, DOI: 10.1016/0167-6105(95)00008-F.

    Article  Google Scholar 

  • Li, H., Laima, S., Ou, J., Zhao, X., Zhou, W., Yu, Y., Li, N., and Liu, Z. (2011). “Investigation of vortex-induced vibration of a suspension bridge with two separated steel box girders based on field measurements.” Engineering Structures, Vol. 33, No. 6, pp. 1894–1907, DOI: 10.1016/j.engstruct.2011.02.017.

    Article  Google Scholar 

  • Marra, A. M., Mannini, C., and Bartoli, G. (2011). “Van der Pol-type equation for modeling vortex-induced oscillations of bridge decks.” Journal of Wind Engineering & Industrial Aerodynamics, Vol. 99, Nos. 6–7, pp. 776–785, DOI: 10.1016/j.jweia.2011.03.014.

    Article  Google Scholar 

  • Marra, A. M., Mannini, C., and Bartoli, G. (2015). “Measurements and improved model of vortex-induced vibration for an elongated rectangular cylinder.” Journal of Wind Engineering & Industrial Aerodynamics, Vol. 147, pp. 358–367, DOI: 10.1016/j.jweia.2015.08.007.

    Article  Google Scholar 

  • Marris, A. W. (1964). “A review on vortex streets, periodic wakes, and induced vibration phenomena.” Journal of Fluids Engineering, Vol. 86, No. 2, pp. 185–193, DOI: 10.1115/1.3653027.

    Google Scholar 

  • Meng, S. (2015). Regression model statistics and actuarial, Renmin University of China press, Beijing, ISBN: 9787300220642.

    Google Scholar 

  • Postnikov, A., Pavlovskaia, E., and Wiercigroch, M. (2016). “2DOF CFD calibrated wake oscillator model to investigate vortex-induced vibrations.” International Journal of mechanical Sciences, Vol. 127, pp. 176–190, DOI: 10.1016/j.ijmecsci.2016.05.019.

    Article  Google Scholar 

  • Scanlan, R. H. (1981). State-of-the-art methods for calculating flutter, vortex-induced, and buffeting response of bridge structures, No. FHWA-RD-80-50, Federal Highway Administration, Washington, DC.

    Google Scholar 

  • Wilk, M. B. and Gnanadesikan, R. (1968). “Probability plotting methods for the analysis for the analysis of data.” Biometrika, Vol. 55, No. 1, pp. 1, DOI: 10.2307/2334448.

    Google Scholar 

  • Wu, T. and Kareem, A. (2013). “Vortex-induced vibration of bridge decks: A volterra series based model.” Journal of Engineering Mechanics, Vol. 139, No. 12, pp. 1831–1843, DOI: 10.1061/(ASCE) EM.1943-7889.0000628.

    Article  Google Scholar 

  • Xu, K., Ge, Y., and Zhang, D. (2015). “Wake oscillator model for assessment of vortex-induced vibration of flexible structures under wind action.” Journal of Wind Engineering & Industrial Aerodynamics, Vol. 136, pp. 192–200, DOI: 10.1016/j.jweia.2014.11.002.

    Article  Google Scholar 

  • Zhu, L. D., Meng, X. L., Du, L. Q., and Ding, M. C. (2017a). “A simplified nonlinear model of vertical vortex-induced force on box decks for predicting stable amplitudes of vortex-induced vibrations.” Engineering, Vol. 3, No. 6, pp. 854–862, DOI: 10.1016/j.eng.2017.06.001.

    Article  Google Scholar 

  • Zhu, L. D., Meng, X. L., and Guo, Z. S. (2013). “Nonlinear mathematical model of vortex-induced vertical force on a flat closed-box bridge deck.” Journal of Wind Engineering & Industrial Aerodynamics, Vol. 122, No. 11, pp. 69–82, DOI: 10.1016/j.jweia.2013.07.008.

    Article  Google Scholar 

  • Zhu, Q., Xu, Y. L., Zhu, L. D., and Chen, B. Y. (2017b). “A semi-empirical model for vortex-induced vertical forces on a twin-box deck under turbulent wind flow.” Journal of Fluids & Structures, Vol. 71, pp. 183–198, DOI: 10.1016/j.jfluidstructs.2017.03.011.

    Article  Google Scholar 

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Correspondence to Xiaoxia Tian.

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Yan, J., Tian, X., Zhou, Q. et al. Improvement of Scanlan’s Nonlinear Model based on Residual Analysis. KSCE J Civ Eng 23, 280–286 (2019). https://doi.org/10.1007/s12205-018-0322-1

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  • DOI: https://doi.org/10.1007/s12205-018-0322-1

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