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Wind and Structures Volume 39, Number 2, August 2024 , pages 101-110 DOI: https://doi.org/10.12989/was.2024.39.2.101 |
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Aerodynamic optimization of twisted tall buildings |
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Magdy Alanani, Ahmed Elshaer and Girma Bitsuamlak
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| Abstract | ||
| Tall buildings are distinguished by their slenderness, making them sensitive to wind loads. A huge amount of resources is typically dedicated to controlling loads and vibrations caused by wind. Enhancing tall buildings' aerodynamic performance can save a large portion of these expenses. This enhancement can be achieved through aerodynamic optimization that can be tackled either by altering the outer shape of the building locally through modifying the corners (e.g., corner chamfering) or globally through changing the whole form of the building (e.g., twisting). In this paper, a newly developed aerodynamic optimization procedure (AOP) is adopted to enhance tall buildings' aerodynamic performance. This procedure is a combination of computational fluid dynamics (CFD), Artificial Neural Networks (ANN) and Genetic algorithm (GA). An ANNbased surrogate model is used to evaluate the aerodynamic parameters through the optimization procedure to reach a reliable aerodynamic shape. Helical twisting and corner modifications of the buildings are used to reduce the along-wind base moment. | ||
| Key Words | ||
| aerodynamic optimization; ANN; CFD; genetic algorithm; tall buildings; wind load | ||
| Address | ||
| Magdy Alanani:Department of Civil Engineering, Lakehead University, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Canada Ahmed Elshaer:Department of Civil Engineering, Lakehead University, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Canada Girma Bitsuamlak:Department of Civil and Environmental Engineering, Western University, 1151 Richmond Street, London, ON N6A 3K7, Canada | ||