Field monitoring and numerical simulation of the thermal actions of a supertall structure

Summary Structural temperature is an important loading that must be considered during the design, construction, and safety assessment. The thermal action of supertall structures has rarely been investigated because of insufficient real measurement data, as compared with that on bridges. In this study, the thermal action of the 600-m-tall Canton Tower is investigated on the basis of the comprehensive long-term SHM system installed on the structure and the numerical simulation. First, the temperature model of the entire structure is derived by using the field monitoring and numerical heat transfer analysis data. In particular, (i) the temperature difference between different facades of the inner tube, (ii) the temperature difference profile of the outer tube, and (iii) the distribution of the temperature difference between the inner and outer tubes along the structural height are presented in detail. Results show that the nonuniform distribution of the temperature field between the different components of the structure is significant and should be carefully considered in the analysis of such a complex supertall structure. Second, the temperature effects on structural displacement, stress, and internal forces consisting of (i) the tower top horizontal displacement during different seasons, (ii) the stresses of different levels/components, and (iii) the bending moments/shear forces along the structural height are investigated. The simulated results obtained by using the global finite element model of the tower are verified through a comparison with the measurements. This study provides first-hand data for the design of supertall structures in the tropical region of China. Copyright © 2016 John Wiley & Sons, Ltd.

[1]  Y. Tamura,et al.  Measurement of Wind-induced Response of Buildings using RTK-GPS , 2001 .

[2]  Peng Zhang,et al.  Stress Development of a Supertall Structure during Construction: Field Monitoring and Numerical Analysis , 2011, Comput. Aided Civ. Infrastructure Eng..

[3]  I. Puente,et al.  Effect of ambient temperature on the redistribution of loads during construction of multi-storey concrete structures , 2007 .

[4]  Bo Chen,et al.  Field monitoring and numerical analysis of Tsing Ma Suspension Bridge temperature behavior , 2013 .

[5]  Yong Xia,et al.  Variation of structural vibration characteristics versus non-uniform temperature distribution , 2011 .

[6]  Jiliang Zhou,et al.  Efficient and Secure Routing Protocol Based on Encryption and Authentication for Wireless Sensor Networks , 2010, 2010 International Conference on Artificial Intelligence and Education (ICAIE).

[7]  Miros Pirner,et al.  Long-time observation of wind and temperature effects on TV towers , 1999 .

[8]  J. Kennedy,et al.  TEMPERATURE DISTRIBUTION IN COMPOSITE BRIDGES , 1987 .

[9]  Peng Zhang,et al.  Deformation monitoring of a super-tall structure using real-time strain data , 2014 .

[10]  Dongning Li,et al.  Thermal design criteria for deep prestressed concrete girders based on data from Confederation Bridge , 2004 .

[11]  Tadeusz Chmielewski,et al.  The Stuttgart TV Tower — displacement of the top caused by the effects of sun and wind , 2008 .

[12]  Hsiao-Hwa Chen,et al.  Trust, Security, and Privacy in Next-Generation Wireless Sensor Networks , 2013, Int. J. Distributed Sens. Networks.

[13]  Yi-Qing Ni,et al.  Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower , 2009 .

[14]  A. Seco,et al.  Assessing building displacement with GPS , 2007 .

[15]  Yi-Qing Ni,et al.  Constructing input to neural networks for modeling temperature-caused modal variability: Mean temperatures, effective temperatures, and principal components of temperatures , 2010 .

[16]  James M. W. Brownjohn,et al.  Temperature analysis of a long-span suspension bridge based on field monitoring and numerical simulation , 2016 .

[17]  T. Lardner,et al.  Thermal Effects on Very Large Space Structures , 1988 .