DOI QR코드

DOI QR Code

Modeling of temperature distribution in a reinforced concrete supertall structure based on structural health monitoring data

  • Ni, Y.Q. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) ;
  • Ye, X.W. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) ;
  • Lin, K.C. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) ;
  • Liao, W.Y. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University)
  • 투고 : 2009.07.27
  • 심사 : 2010.08.10
  • 발행 : 2011.06.25

초록

A long-term structural health monitoring (SHM) system comprising over 700 sensors of sixteen types has been implemented on the Guangzhou Television and Sightseeing Tower (GTST) of 610 m high for real-time monitoring of the structure at both construction and service stages. As part of this sophisticated SHM system, 48 temperature sensors have been deployed at 12 cross-sections of the reinforced concrete inner structure of the GTST to provide on-line monitoring via a wireless data transmission system. In this paper, the differential temperature profiles in the reinforced concrete inner structure of the GTST, which are mainly caused by solar radiation, are recognized from the monitoring data with the purpose of understanding the temperature-induced structural internal forces and deformations. After a careful examination of the pre-classified temperature measurement data obtained under sunny days and non-sunny days, common characteristic of the daily temperature variation is observed from the data acquired in sunny days. Making use of 60-day temperature measurement data obtained in sunny days, statistical patterns of the daily rising temperature and daily descending temperature are synthesized, and temperature distribution models of the reinforced concrete inner structure of the GTST are formulated using linear regression analysis. The developed monitoring-based temperature distribution models will serve as a reliable input for numerical prediction of the temperature-induced deformations and provide a robust basis to facilitate the design and construction of similar structures in consideration of thermal effects.

키워드

참고문헌

  1. Breuer, P., Chmielewski, T., Gorski, P., Konopka, E. and Tarczynski, L. (2008), "The Stuttgart TV towerdisplacement of the top caused by the effects of sun and wind", Eng. Struct., 30(10), 2771-2781. https://doi.org/10.1016/j.engstruct.2008.03.008
  2. Brownjohn, J.M.W. (2007), "Structural health monitoring of civil infrastructure", Philos. T. R. Soc. A, 365(1851), 589-622. https://doi.org/10.1098/rsta.2006.1925
  3. DeWolf, J.T., Conn, P.E. and O'Leary, P.N. (1995), "Continuous monitoring of bridge structures", Proceedings of the International Association for Bridge and Structural Engineering Symposium on Extending the Lifespan of Structures, San Francisco, USA, 934-940.
  4. Hua, X.G., Ni, Y.Q., Ko, J.M. and Wong, K.Y. (2007), "Modeling of temperature-frequency correlation using combined principal component analysis and support vector regression technique", J. Comput. Civil Eng. - ASCE, 21(2), 122-135. https://doi.org/10.1061/(ASCE)0887-3801(2007)21:2(122)
  5. Keller, G. (2009), Managerial statistics, South-Western Cengage Learning, Mason, Ohio, USA.
  6. Ko, J.M. and Ni, Y.Q. (2005), "Technology developments in structural health monitoring of large-scale bridges", Eng. Struct., 27(12), 1715-1725. https://doi.org/10.1016/j.engstruct.2005.02.021
  7. Liu, C. and DeWolf, J.T. (2007), "Effect of temperature on modal variability of a curved concrete bridge under ambient loads", J. Struct. Eng. - ASCE, 133(12), 1742-1751. https://doi.org/10.1061/(ASCE)0733-9445(2007)133:12(1742)
  8. Montgomery, D.C., Runger, G.C. and Hubele, N.F. (2007), Engineering statistics, John Wiley & Sons, Hoboken, New Jersey, USA.
  9. Ni, Y.Q., Hua, X.G., Fan, K.Q. and Ko, J.M. (2005), "Correlating modal properties with temperature using longterm monitoring data and support vector machine technique", Eng. Struct., 27(12), 1762-1773. https://doi.org/10.1016/j.engstruct.2005.02.020
  10. Ni, Y.Q., Hua, X.G., Wong, K.Y. and Ko, J.M. (2007), "Assessment of bridge expansion joints using long-term displacement and temperature measurement", J. Perform. Constr. Fac. - ASCE, 21(2), 143-151. https://doi.org/10.1061/(ASCE)0887-3828(2007)21:2(143)
  11. Ni, Y.Q., Xia, Y., Liao, W.Y. and Ko, J.M. (2009a), "Technology innovation in developing the structural health monitoring system for Guangzhou new TV tower", Struct. Control Health Monit., 16(1), 73-98. https://doi.org/10.1002/stc.303
  12. Ni, Y.Q., Zhang, P., Ye, X.W., Lin, K.C. and Liao, W.Y. (2009b), "Temperature-induced deformations of reinforced concrete core of a supertall structure: integrating field monitoring data into finite element analysis", Proceedings of the 1st International Conference on Computational Technologies in Concrete Structures, Jeju, Korea, 327-339.
  13. Pirner, M. and Fischer, O. (1999), "Long-time observation of wind and temperature effects on TV towers", J. Wind Eng. Ind. Aerodyn., 79(1-2), 1-9. https://doi.org/10.1016/S0167-6105(98)00113-5
  14. Smith, B.S. and Coull, A. (1991), Tall building structures: analysis and design, Wiley, New York, USA.
  15. Sohn, H., Dzwonczyk, M., Straser, E.G., Kiremidjian, A.S., Law, K.H. and Meng, T. (1999), "An experimental study of temperature effect on modal parameters of the Alamosa Canyon Bridge", Earth. Eng. Struct. Dyn., 28(8), 879-897. https://doi.org/10.1002/(SICI)1096-9845(199908)28:8<879::AID-EQE845>3.0.CO;2-V

피인용 문헌

  1. Structural Health Monitoring of a Tall Building during Construction with Fiber Bragg Grating Sensors vol.8, pp.10, 2012, https://doi.org/10.1155/2012/272190
  2. Selection of measurement sets in static structural identification of bridges using observability trees vol.15, pp.5, 2015, https://doi.org/10.12989/cac.2015.15.5.771
  3. A new method solving the temperature field of concrete around cooling pipes vol.11, pp.5, 2013, https://doi.org/10.12989/cac.2013.11.5.441
  4. Temperature-induced displacement of supertall structures: A case study pp.2048-4011, 2019, https://doi.org/10.1177/1369433218795288
  5. Damage detection of bridges monitored within one cluster based on the residual between the cumulative distribution functions of strain monitoring data vol.19, pp.6, 2011, https://doi.org/10.1177/1475921719895955