Smart Structures and Systems

  • 제17권6호
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  • Pages.1067-1085
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  • 2016
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Stationary and nonstationary analysis on the wind characteristics of a tropical storm

  • Tao, Tianyou (Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education) ;
  • Wang, Hao (Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education) ;
  • Li, Aiqun (Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education)
  • 투고 : 2015.11.19
  • 심사 : 2016.04.09
  • 발행 : 2016.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

Nonstationary features existing in tropical storms have been frequently captured in recent field measurements, and the applicability of the stationary theory to the analysis of wind characteristics needs to be discussed. In this study, a tropical storm called Nakri measured at Taizhou Bridge site based on structural health monitoring (SHM) system in 2014 is analyzed to give a comparison of the stationary and nonstationary characteristics. The stationarity of the wind records in the view of mean and variance is first evaluated with the run test method. Then the wind data are respectively analyzed with the traditional stationary model and the wavelet-based nonstationary model. The obtained wind characteristics such as the mean wind velocity, turbulence intensity, turbulence integral scale and power spectral density (PSD) are compared accordingly. Also, the stationary and nonstationary PSDs are fitted to present the turbulence energy distribution in frequency domain, among which a modulating function is included in the nonstationary PSD to revise the non-monotonicity. The modulated nonstationary PSD can be utilized to unconditionally simulate the turbulence presented by the nonstationary wind model. The results of this study recommend a transition from stationarity to nonstationarity in the analysis of wind characteristics, and further in the accurate prediction of wind-induced vibrations for engineering structures.

키워드

과제정보

연구 과제 주관 기관 : National Science Foundation of China

참고문헌

  1. Bendat J.S. and Piersol A.G. (2010). Random data: Analysis and measurement procedures, 4th Ed., Wiley, Hoboken, NJ.
  2. Busch N.E. and Panofsky, H.A. (1968), "Recent spectra of atmospheric turbulence", Q. J. Roy. Meteorol. Soc., 94(400), 132-148. https://doi.org/10.1002/qj.49709440003
  3. Cao, S.Y., Tamura, Y., Kikuchi, N. et al. (2015), "A case study of gust factor of a strong typhoon." Journal of Wind Engineering & Industrial Aerodynamics, 138, 52-60. https://doi.org/10.1016/j.jweia.2014.12.012
  4. Cai, C.S., Albrecht, P. and Bosch, H.R. (1999), "Flutter and buffeting analysis. I: finite-element and RPE solution", J. Bridge Eng.- ASCE, 4(3), 174-180. https://doi.org/10.1061/(ASCE)1084-0702(1999)4:3(174)
  5. Counihan, J. (1975), "Adiabatic atmospheric boundary layers: A review and analysis of data from the period 1880-1972", Atmos. Environ., 9(10), 871-905. https://doi.org/10.1016/0004-6981(75)90088-8
  6. Chen, X.Z. and Kareem, A. (2002), "Advances in modeling of aerodynamic forces on bridge decks", J. Eng. Mech. - ASCE, 128(11), 1193-1205. https://doi.org/10.1061/(ASCE)0733-9399(2002)128:11(1193)
  7. Chen, L. and Letchford, C.W. (2004), "A deterministic-stochastic hybrid model of downbursts and its impact on a cantilevered structure", Eng. Struct., 26, 619-629. https://doi.org/10.1016/j.engstruct.2003.12.009
  8. Chen, J., Hui, M.C.L. and Xu, Y.L. (2007), "A comparative study of stationary and non-stationary wind models using field measurements", Bound. - Lay. Meteorol., 122, 105-121. https://doi.org/10.1007/s10546-006-9085-1
  9. Chen, Z.Q., Han Y., Hua X.G. et al. (2009), "Investigation on influence factors of buffeting response of bridges and its aeroelastic model verification for Xiaoguan Bridge", Eng. Struct., 31, 417-431. https://doi.org/10.1016/j.engstruct.2008.08.016
  10. Choi, E.C.C. (1978), "Characteristics of typhoons over the South China Sea", J. Wind Eng. Ind. Aerod., 3, 353-365. https://doi.org/10.1016/0167-6105(78)90038-7
  11. Flay, R.G.J. and Stevenson, D.C. (1998), "Integral length scales in strong winds below 20 m", J. Wind Eng. Ind. Aerod., 28, 21-30.
  12. Gimsing, N.J. (1983), Cable Supported Bridge: Concept and Design, John Wiley and Sons, New York.
  13. Ishizaki, H. (1983), "Wind profiles, turbulence intensities and gust factors for design in typhoon-prone regions", J. Wind Eng. Ind. Aerod., 13(1-3), 55-66. https://doi.org/10.1016/0167-6105(83)90128-9
  14. Kaimal, J.C., Wyngaard, J.C., Izumi Y. et al. (1972), "Spectral characteristics of surface-layer turbulence", Q. J. Roy. Meteorol. Soc., 98(417), 563-589. https://doi.org/10.1002/qj.49709841707
  15. Kareem, A. (1985), "Wind-induced response analysis of tension leg platforms", J. Struct. Eng. - ASCE, 111(1), 37-55. https://doi.org/10.1061/(ASCE)0733-9445(1985)111:1(37)
  16. Li, Q.S., Zhi, L.H. and Hu, F. (2009), "Field monitoring of boundary layer wind characteristics in urban area", Wind Struct,, 12(6), 553-574. https://doi.org/10.12989/was.2009.12.6.553
  17. Meng, Y., Matsui, M. and Hibi, K. (1997), "A numerical study of the wind field in a typhoon boundary layer", J. Wind Eng. Ind. Aerod., 67-68, 437-448. https://doi.org/10.1016/S0167-6105(97)00092-5
  18. McCullough, M. and Kareem, A. (2013), "Testing stationarity with wavelet-based surrogates", J. Eng. Mech. - ASCE, 139(2), 200-209. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000484
  19. Ni, Y.Q., Xia, Y., Lin, W. et al. (2012), "SHM benchmark for high-rise structures: a reduced-order finite element model and field measurement data", Smart Struct. Syst., 10(4-5), 411-426. https://doi.org/10.12989/sss.2012.10.4_5.411
  20. Ou, J.P. and Li, H. (2010), "Structural health monitoring in mainland of China: review and future trends", Struct. Health Monit., 9(3), 219-231. https://doi.org/10.1177/1475921710365269
  21. Von Karman, T. (1948), "Progress in the statistical theory of turbulence", Proceedings of the National Academy of Sciences of the United States of America, 34(11), 530-539. https://doi.org/10.1073/pnas.34.11.530
  22. Simiu, E. and Scanlan, R.H. (1978), Wind effects on structures: an introduction to wind engineering, John Wiley & Sons, Inc., New York.
  23. Wang, L. and Kareem, A. (2004), "Modeling of nonstationary wind in gust-fronts", Proceedings of the 9th ASCE Joint Specialty Conference on Probabilistic Mechanics and Structural Reliability, New Mexico.
  24. Wang, H., Li, A.Q., Niu, J. et al. (2013), "Long-term monitoring of wind characteristics at Sutong Bridge site", J. Wind Eng. Ind. Aerod., 115, 39-47. https://doi.org/10.1016/j.jweia.2013.01.006
  25. Wu, T. and Kareem, A. (2015), "A nonlinear analysis framework for bluff-body aerodynamics: A Volterra representation of the solution of Navier-Stokes equations", J. Fluids Struct., 54, 479-502. https://doi.org/10.1016/j.jfluidstructs.2014.12.005
  26. Wu, T. (2015), "Simulation of nonstationary wind velocity field utilizing multi-scale spatial correlation nested Hilbert-Wavelet scheme", Proceedings of the 14th International Conference on Wind Engineering (ICWE14), Porto Alegre, Brazil.
  27. Xu, Y.L., Zhu, L.D., Wong K.Y. et al. (2000), "Field measurement results of Tsing Ma suspension Bridge during Typhoon Victor", Struct. Eng. Mech., 10(6), 545-559. https://doi.org/10.12989/sem.2000.10.6.545
  28. Xu, Y.L. and Chen, J. (2004), "Characterizing nonstationary wind speed using empirical mode decomposition", J. Struct. Eng.- ASCE, 130(6), 912-920. https://doi.org/10.1061/(ASCE)0733-9445(2004)130:6(912)
  29. Ye, X.W., Ni, Y.Q., Wai, T.T. et al. (2013), "A vision-based system for dynamic displacement measurement of long-span bridges: algorithm and verification", Smart Struct. Syst., 12(3-4), 363-379. https://doi.org/10.12989/sss.2013.12.3_4.363
  30. Yu, B., Chowdhury, A.G. and Masters, F.J. (2008), "Hurricane wind power spectra, cospectra, and integral length scales", Bound. -Lay. Meteorol., 129, 411-430. https://doi.org/10.1007/s10546-008-9316-8
  31. Zhu, L.D. and Xu, Y.L. (2005), "Buffeting response of long-span cable-supported bridges under skew winds. Part 1: theory", J. Sound Vib., 281, 647-673. https://doi.org/10.1016/j.jsv.2004.01.026

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