Deformation monitoring of a super-tall structure using real-time strain data

Abstract Monitoring deformation of super-tall structures under different environmental conditions is an important and challenging issue in assessing the safety and serviceability of structures. This paper presents a new method for calculating structural deformation using real-time strain data, which can be easily measured at different sections. Assuming the structural deformation is of bending beam type, the deformation of the structure is associated with longitudinal strain. Virtual work theory is then used to calculate the horizontal displacement and tilt angle of the building on the basis of the strain data at different heights of the structure. The proposed method is applied to the 600 m tall Canton Tower (previously known as Guangzhou New TV Tower), on which a long-term structural health monitoring system including over 400 vibrating strain gauges has been installed at different heights. The displacements and tilts of the structure top under normal and typhoon conditions are calculated using real-time monitoring strain data. The calculated deformations show good agreement with the measurements by using global positioning system (GPS) and inclinometers. The temperature-induced maximum daily movement is similar to the value of typhoon-induced motion. Moreover, the displacement mode of the super-tall structure is also calculated and shows the bending type. Error analysis demonstrates that the calculated displacements have higher accuracy than the GPS-measured counterparts, and that the calculated tilts have similar accuracy as those measured by an inclinometer.

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

[2]  Alan Dodson,et al.  High Frequency Deflection Monitoring of Bridges by GPS , 2004 .

[3]  Alan Dodson,et al.  Integrating a Global Positioning System and Accelerometers to Monitor the Deflection of Bridges , 2004 .

[4]  L. Ge,et al.  Preliminary evaluation of precise inclination sensor and GPS for monitoring full-scale dynamic response of a tall reinforced concrete building , 2010 .

[5]  Yi-Qing Ni,et al.  Health Checks through Landmark Bridges to Sky-High Structures , 2011 .

[6]  Stathis C. Stiros,et al.  Monitoring dynamic and quasi-static deformations of large flexible engineering structures with GPS: Accuracy, limitations and promises , 2006 .

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

[8]  N. E. Cazzaniga,et al.  Monitoring Oscillations of Slender Structures with GPS and Accelerometers , 2005 .

[9]  Alan Dodson,et al.  Detecting bridge dynamics with GPS and triaxial accelerometers , 2007 .

[10]  Xiufeng He,et al.  Application and evaluation of a GPS multi-antenna system for dam deformation monitoring , 2004 .

[11]  Xiufeng He,et al.  Steep-slope monitoring : GPS multiple-antenna system at Xiaowan dam , 2005 .

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

[13]  T. Kijewski-Correa,et al.  Monitoring the wind-induced response of tall buildings: GPS performance and the issue of multipath effects , 2007 .

[14]  James M. W. Brownjohn Lateral loading and response for a tall building in the non-seismic doldrums , 2005 .

[15]  Stathis C. Stiros,et al.  Experimental Assessment of the Accuracy of GPS and RTS for the Determination of the Parameters of Oscillation of Major Structures , 2008, Comput. Aided Civ. Infrastructure Eng..

[16]  Yi-Qing Ni,et al.  Theoretical and experimental modal analysis of the Guangzhou New TV Tower , 2011 .

[17]  Yukio Tamura,et al.  Full-scale structural monitoring using an integrated GPS and accelerometer system , 2006 .

[18]  Hyo Seon Park,et al.  Application of GPS to monitoring of wind‐induced responses of high‐rise buildings , 2008 .

[19]  Ting-Hua Yi,et al.  Recent research and applications of GPS‐based monitoring technology for high‐rise structures , 2013 .

[20]  T. Chmielewski,et al.  Application of GPS technology to measurements of displacements of high-rise structures due to weak winds , 2002 .

[21]  John R. Wolberg,et al.  Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments , 2005 .

[22]  Wujiao Dai,et al.  An integrated GPS–accelerometer data processing technique for structural deformation monitoring , 2006 .

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

[24]  A. Smyth,et al.  Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurement in dynamic system monitoring , 2007 .

[25]  Bo Chen,et al.  Monitoring temperature effect on a long suspension bridge , 2009 .

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