Computational Analysis of Wind Neighborhood Effects on Buildings: A Comparison Between Closure Models for Turbulence
DOI:
https://doi.org/10.70567/mc.v41i7.37Palabras clave:
Computational fluid dynamics, aerodynamic coefficients, RANS, OpenFOAMResumen
Determining the neighboring effects of wind is a complex task, as generic approaches are often unable to accurately capture the interactions between buildings and their surrounding environment. For this reason, standard guidelines may be insufficient for determining these effects, making it necessary to rely on wind tunnel testing or numerical simulations through computational fluid dynamics (CFD). This study presents an analysis of the changes in aerodynamic coefficients of the CAARC (Commonwealth Advisory Aeronautical Research Council) building due to the presence of neighboring structures that interfere with wind flow. The neighborhood consists of eight blocks with proportions of 1:1:3. Turbulence was modeled using the Reynolds-Averaged Navier-Stokes (RANS) approach, employing the k-omega and k-omega SST turbulence closure models. A comparative analysis of the results obtained from these two models is presented. The study was conducted by varying the system’s orientation from 0 to 90 degrees in 15-degree intervals. Results show that the perimeter buildings create a shielding effect on the centrally located CAARC building, leading to a reduction in the drag coefficient. Additionally, for some angles, the presence of neighboring structures caused an increase in the torsional and lift coefficients.
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Derechos de autor 2024 Asociación Argentina de Mecánica Computacional
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