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Dynamic behavior of H-shape tall building subjected to wind loading computed by stochastic and CFD methodologies

  • Received : 2022.10.18
  • Accepted : 2023.08.01
  • Published : 2023.09.25
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Abstract

This study analyzes the response of a tall building with an H-shaped cross-section when subjected to wind loading generated by the same H-shape. As normative standards usually adopt regular geometries for determining the wind loading, this paper shows unpublished results which compares results of the dynamic response of H-shaped buildings with the response of simplified section buildings. Computational Fluid Dynamics (CFD) is employed to determine the steady wind load on the H-shaped building. The CFD models are validated by comparison with wind tunnel test data for the k-ε and k-ω models of turbulence. Transient wind loading is determined using the Synthetic Wind Method. A new methodology is presented that combines Stochastic and CFD methods. In addition, time-history dynamic structural analysis is performed using the HHT method for a period of 60 seconds on finite element models. First, the along-wind response is studied for wind speed variations. The wind speeds of 28, 36, 42, and 50 m/s at 0° case are considered. Subsequently, the dynamic response of the building is studied for wind loads at 0°, 45°, and 90° with a wind speed of 42 m/s, which approximates the point of resonance between gusts of wind and the structure. The response values associated with the first two directions for the H-shaped building are smaller than those for the R-shaped (Equivalent Rectangular Shape) one. However, the displacements of the H-shaped building associated with the latter wind load are larger.

Keywords

Acknowledgement

The authors acknowledge Federal Technological University of Parana and Graduate Program in Civil Engineering (PPGEC). The first author acknowledges CAPES for providing a scholarship during his master's degree program. This study was financed in part by the Coordenaca de Aperfeicoamento de Pessoal de Nivel Superior - Brasil (CAPES) - Finance Code 001. The second author acknowledges CNPq (Brazilian Research Council) for partly supporting his research via a fellowship PQ-2 (Process: 310855/2019-5).

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