Aerodynamic Optimization For Corner Modification Of Octagonal-shape Tall Buildings Using Computational Approach
Abstract
Tall buildings are particularly susceptible to wind loads, which usually govern the design of lateral load-resisting systems. Therefore, wind loads must be adequately evaluated in the design of tall buildings. Aerodynamic modifications are highly effective tools for reducing wind loads. This paper investigates the effectiveness of corner modification optimization applied on an octagonal-plan-shaped model using computational fluid dynamic (CFD) simulation computational fluid dynamics associated with finite element analysis to alleviate wind-induced loads. Corner aerodynamic modifications such as chamfered, recessed, rounded, and fins are investigated. The corner modification was limited to a cutting radius of 6 m (12% of the building width) with a 0.5 m increment. The main considerations for this optimization procedure are top deflection, inter-story drifts, and the optimal number of additional floors. All corner modifications improve the building's performance, except fins corners resulting in adverse effects. In addition, 47 simulation examples from the case study are evaluated, presented, and discussed. With one additional floor, the optimum shape was able to reduce overall wind loads by 31.67%, resulting in a reduction in the structural response of 24.89% and 24.18% in maximum top deflection and inter-story drift, respectively.
Recommended Citation
A. H. Al-Masoodi et al., "Aerodynamic Optimization For Corner Modification Of Octagonal-shape Tall Buildings Using Computational Approach," Journal of Building Engineering, vol. 76, article no. 107017, Elsevier, Oct 2023.
The definitive version is available at https://doi.org/10.1016/j.jobe.2023.107017
Department(s)
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Aerodynamics; CFD; Drag; Optimization; Tall buildings; Wind load
International Standard Serial Number (ISSN)
2352-7102
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Elsevier, All rights reserved.
Publication Date
01 Oct 2023
Comments
King Saud University, Grant None