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Wind and Structures
  Volume 23, Number 4, October 2016 , pages 313-350
DOI: https://doi.org/10.12989/was.2016.23.4.313
 


Evaluation of wind loads and wind induced responses of a super-tall building by large eddy simulation
C.L. Lu, Q.S. Li, S.H. Huang, Alex Y. Tuan, L.H. Zhi and Sheng-chung Su

 
Abstract
    Taipei 101 Tower, which has 101 stories with height of 508 m, is located in Taipei where typhoons and earthquakes commonly occur. It is currently the second tallest building in the world. Therefore, the dynamic performance of the super-tall building under strong wind actions requires particular attentions. In this study, Large Eddy Simulation (LES) integrated with a new inflow turbulence generator and a new sub-grid scale (SGS) model was conducted to simulate the wind loads on the super-tall building. Three-dimensional finite element model of Taipei 101 Tower was established and used to evaluate the wind-induced responses of the high-rise structure based on the simulated wind forces. The numerical results were found to be consistent with those measured from a vibration monitoring system installed in the building. Furthermore, the equivalent static wind loads on the building, which were computed by the time-domain and frequency-domain analysis, respectively, were in satisfactory agreement with available wind tunnel testing results. It has been demonstrated through the validation studies that the numerical framework presented in this paper, including the recommended SGS model, the inflow turbulence generation technique and associated numerical treatments, is a useful tool for evaluation of the wind loads and wind-induced responses of tall buildings.
 
Key Words
    tall building; computational fluid dynamics (CFD); large eddy simulation (LES); finite element method (FEM); wind load; wind-induced response; full-scale measurement; wind tunnel test
 
Address
C.L. Lu and L.H. Zhi: College of Civil Engineering, Hunan University, Changsha 410082, China
Q.S. Li:Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong
S.H. Huang: School of Engineering Science, University of Science and Technology of China,Hefei, 230026, China
Alex Y. Tuan: Department of Civil Engineering, Tamkang University, Tamsui, Taiwan
Sheng-chung Su: Central Weather Bureau, Taipei, Taiwan

 

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