Wind and Structures
Volume 38, Number 3, 2024, pages 215-229
DOI: 10.12989/was.2024.38.3.215
Characterization of the wind-induced response of a 356 m high guyed mast based on field measurements
Zhe Wang, Muguang Liu, Lei Qiao, Hongyan Luo, Chunsheng Zhang and Zhuangning Xie
Abstract
Guyed mast structures exhibit characteristics such as high flexibility, low mass, small damping ratio, and large
aspect ratio, leading to a complex wind-induced vibration response mechanism. This study analyzed the time- and frequencydomain characteristics of the wind-induced response of a guyed mast structure using measured acceleration response data
obtained from the Shenzhen Meteorological Gradient Tower (SZMGT). Firstly, 734 sets of 1-hour acceleration samples
measured from 0:00 October 1, 2021, to 0:00 November 1, 2021, were selected to study the vibration shapes of the mast and the
characteristics of the generalized extreme value (GEV) distribution. Secondly, six sets of typical samples with different vibration
intensities were further selected to explore the Gaussian property and modal parameter characteristics of the mast. Finally, the
modal parameters of the SZMGT are identified and the identification results are verified by finite element analysis. The findings
revealed that the guyed mast vibration shape exhibits remarkable diversity, which increases nonlinearly along the height in most
cases and reaches a maximum at the top of the tower. Moreover, the GEV distribution characteristics of the 734 sets of samples
are closer to the Weibull distribution. The probability distribution of the structural wind vibration response under strong wind is
in good agreement with the Gaussian distribution. The structural response of the mast under wind loading exhibits multiple
modes. As the structural response escalates, the first three orders of modal energy in the tower display a gradual increase in
proportion.
Key Words
acceleration response; filed measurements; guyed mast; modal identification; probability density characteristic
Address
Zhe Wang, Muguang Liu, Lei Qiao and Zhuangning Xie:School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, 510641, China
Hongyan Luo and Chunsheng Zhang:Shenzhen National Climate Observatory, Meteorological Bureau of Shenzhen Municipality, Shenzhen, Guangdong, 518040, China