DOI QR코드

DOI QR Code

Wind load estimation of super-tall buildings based on response data

  • Zhi, Lun-hai (School of Civil Engineering and Architecture, Wuhan University of Technology) ;
  • Chen, Bo (Key Laboratory of Roadway Bridge and Structural Engineering, Wuhan University of Technology) ;
  • Fang, Ming-xin (School of Civil Engineering and Architecture, Wuhan University of Technology)
  • 투고 : 2015.02.07
  • 심사 : 2015.11.06
  • 발행 : 2015.11.25

초록

Modern super-tall buildings are more sensitive to strong winds. The evaluation of wind loads for the design of these buildings is of primary importance. A direct monitoring of wind forces acting on super-tall structures is quite difficult to be realized. Indirect measurements interpreted by inverse techniques are therefore favourable since dynamic response measurements are easier to be carried out. To this end, a Kalman filtering based inverse approach is developed in this study so as to estimate the wind loads on super-tall buildings based on limited structural responses. The optimum solution of Kalman filter gain by solving the Riccati equation is used to update the identification accuracy of external loads. The feasibility of the developed estimation method is investigated through the wind tunnel test of a typical super-tall building by using a Synchronous Multi-Pressure Scanning System. The effects of crucial factors such as the type of wind-induced response, the covariance matrix of noise, errors of structural modal parameters and levels of noise involved in the measurements on the wind load estimations are examined through detailed parametric study. The effects of the number of vibration modes on the identification quality are studied and discussed in detail. The made observations indicate that the proposed inverse approach is an effective tool for predicting the wind loads on super-tall buildings.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China, Fok Ying Tong Education Foundation

참고문헌

  1. Azam, S.E. and Mariani, S. (2013), "Investigation of computational and accuracy issues in POD-based reduced order modeling of dynamic structural systems", Eng. Struct., 54, 150-167. https://doi.org/10.1016/j.engstruct.2013.04.004
  2. Azam, S.E., Chatzi, E. and Papadimitriou, C. (2015), "A dual Kalman filter approach for state estimation via output-only acceleration measurements", Mech. Syst. Signal Pr., 60, 866-886.
  3. Chakraborty, S., Dalui, S.K. and Ahuja, A.K. (2014), "Wind load on irregular plan shaped tall building-a case study", Wind Struct., 19(1), 59-73. https://doi.org/10.12989/was.2014.19.1.059
  4. Chen, J. and Li, J. (2001), "Study on wind load inverse of tall building", Chin. Quart. Mech., 22(1), 72-77. (in Chinese)
  5. Chen, X.Z. and Kareem, A. (2005), "Proper orthogonal decomposition-based modeling, analysis, and simulation of dynamic wind load effects on structures", J. Eng. Mech., ASCE, 131(4), 325-339. https://doi.org/10.1061/(ASCE)0733-9399(2005)131:4(325)
  6. Clough, R.W. and Penzien, J. (1993), Dynamics of Structures, 2nd Edition, McGraw-Hill, Inc., New York.
  7. Council on tall buildings and urban habitat (2015), CTBUH Height Criteria. .
  8. GB50009-2012 (2012), Load code for the design of building structures, China Architecture & Building Press, Beijing.
  9. Ha, Y.C. (2013), "Empirical formulations for evaluation of across-wind dynamic loads on rectangular tall buildings", Wind Struct., 16(6), 603-616. https://doi.org/10.12989/was.2013.16.6.603
  10. Hwang, J.S., Kareem, A. and Kim, H.J. (2009), "Estimation of modal loads using structural response", J. Sound Vib., 326, 522-539. https://doi.org/10.1016/j.jsv.2009.05.003
  11. Hwang, J.S., Kareem, A. and Kim, H.J. (2011), "Wind load identification using wind tunnel test data by inverse analysis", J. Wind Eng. Indus. Aerodyn., 99(1), 18-26. https://doi.org/10.1016/j.jweia.2010.10.004
  12. Kalman, R.E. and Bucy, R.S. (1961), "New results in linear filtering and prediction theory", Am. Soc. Mech. Eng. J. Basic Eng., 83(3), 95-108.
  13. Kang, C.C. and Lo, C.Y. (2002), "An inverse vibration analysis of a tower subjected to wind drags on a shaking ground", Appl. Math. Model., 26, 517-528. https://doi.org/10.1016/S0307-904X(01)00067-1
  14. Law, S.S., Bu, J.Q. and Zhu, X.Q. (2005), "Time-varying wind load identification from structural responses", Eng. Struct., 27, 1586-1598. https://doi.org/10.1016/j.engstruct.2005.05.007
  15. Li, Q.S., Zhi, L.H., Tuan, A.Y., Kao, S.H., Su, S.C. and Wu, C.F. (2011), "Dynamic behavior of Taipei 101 Tower: field measurement and numerical analysis", J. Struct. Eng., ASCE, 137(1), 143-155. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000264
  16. Li, Q.S., Zhi, L.H., Yi, J., To, A. and Xie, J.M. (2014), "Monitoring of typhoon effects on a super-tall building in Hong Kong", Struct. Control Health Monit., 21(6), 926-949. https://doi.org/10.1002/stc.1622
  17. Lourens, E., Papadimitriou, C., Gillijns, S., Reynders, E., De Roeck, G. and Lombaert, G. (2012), "Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors", Mech. Syst. Signal Pr., 29, 310-327. https://doi.org/10.1016/j.ymssp.2012.01.011
  18. Ma, C.K., Chang, J.M. and Lin, D.C. (2003), "Input forces estimation of beam structures by an inverse method", J. Sound Vib., 259(2), 387-407. https://doi.org/10.1006/jsvi.2002.5334
  19. Nagashima, I., Maseki, R., Asami, Y., Hirai, J. and Abiru, H. (2001), "Performance of hybrid mass damper system applied to a 36-storey high-rise building", Earthq. Eng. Struct. Dyn., 30, 1615-1637. https://doi.org/10.1002/eqe.84
  20. Naets, F., Cuadrado, J. and Desmet, W. (2015), "Stable force identification in structural dynamics using Kalman filtering and dummy-measurements", Mech. Syst. Signal Pr., 5051, 235-248.
  21. Sanchez, J. and Benaroya, H. (2014), "Review of force reconstruction techniques", J. Sound Vib., 33, 2999-3018.
  22. Soong, T.T. (1991), Active Structural Control: Theory and Practice, Longman, New York, USA.
  23. Stevens, K.K. (1987), "Force identification problems-an overview", Proceedings of the 1987 SEM Spring Conference on Experimental Mechanics, Houston, June.
  24. Zhi, L.H., Li, Q.S., Wu, J.R. and Li, Z.N. (2011), "Field monitoring of wind effects on a super-tall building during typhoons", Wind Struct., 14(3), 1-31. https://doi.org/10.12989/was.2011.14.1.001
  25. Wu, S.Q. and Law, S.S. (2010), "Moving force identification based on stochastic finite element model", Eng. Struct., 32, 1016-1027. https://doi.org/10.1016/j.engstruct.2009.12.028

피인용 문헌

  1. Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation vol.2017, 2017, https://doi.org/10.1155/2017/9301876
  2. Fluctuating wind field analysis based on random Fourier spectrum for wind induced response of high-rise structures vol.63, pp.6, 2015, https://doi.org/10.12989/sem.2017.63.6.837
  3. A Kalman filter based algorithm for wind load estimation on high-rise buildings vol.64, pp.4, 2017, https://doi.org/10.12989/sem.2017.64.4.449
  4. Generalized algorithms for the identification of seismic ground excitations to building structures based on generalized Kalman filtering under unknown input vol.23, pp.10, 2015, https://doi.org/10.1177/1369433220906225
  5. The nonlinear galloping of iced transmission conductor under uniform and turbulence wind vol.75, pp.4, 2015, https://doi.org/10.12989/sem.2020.75.4.465
  6. Enriched finite element modeling in the dynamic analysis of plane frame subject to random loads vol.234, pp.18, 2015, https://doi.org/10.1177/0954406220916487