Multi-objective optimization of outriggers in high-rise buildings subjected to wind loads

Parfitt, Felipe Morrone Barbat; Morsch, Inácio Benvegnu; Gomes, Herbert Martins

doi:10.1590/s1983-41952023000200003

Cited by 2 publications

References 10 publications

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Multi‐objective optimization design of concrete outriggers based on Genetic–HookeJeeves algorithm: Reducing lateral deflection, differential axial shortening, and construction cost of the structure

Safarkhani,

Madhkhan

2024

Structural Design Tall Build

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SummaryIn the context of tall concrete structures, it is crucial to not only control the lateral displacement of the building but also address the issue of differential axial shortenings in its vertical elements. Concrete outriggers, commonly resembling relatively stiff beams spanning one to two floors, connect the central core to exterior columns. The strategic placement and appropriate stiffness of these outriggers at different heights of the structure can significantly influence the overall behavior of the entire structure. This study focuses on optimizing the location, depth, and thickness of concrete outriggers, along with the dimensions of beams and columns, as well as the thickness of the core shear wall with the objective of minimizing construction costs and mitigating the occurrence of lateral displacement and differential axial shortenings within the structure. To achieve this, a combined approach of the Genetic–HookeJeeves algorithm has been employed. In this research, we have integrated HookeJeeves, a local search algorithm, with the genetic algorithm to create a hybrid approach that demonstrates high convergence performance. The structural modeling and analysis were conducted using ETABS finite element software, while a Euro‐International Concrete Committee model (CEB model) was utilized to assess the magnitude of differential axial shortenings, enabling us to approximate the long‐term behavior of concrete. The findings of this study highlight the significant impact of the location and stiffness of outriggers on mitigating both lateral displacement and differential axial shortenings within the structure. Optimal placement of an outrigger resulted in a 16% reduction in lateral displacement, and this value could reach up to 25% when the outrigger possessed the ideal stiffness. Additionally, such an arrangement led to a remarkable 36% decrease in the maximum differential axial shortening observed in the structure. These outcomes demonstrate that meeting the design requirements of the intended structure not only improves its performance but also reduces construction costs by 31%.

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Multi‐objective optimization design of concrete outriggers based on Genetic–HookeJeeves algorithm: Reducing lateral deflection, differential axial shortening, and construction cost of the structure

Safarkhani,

Madhkhan

2024

Structural Design Tall Build

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Optimization of High-Rise Building Retrofitting Against Wind Loads

Samir,

Abdel-Hameed,

Eraky

et al. 2024

Preprint

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As the height of any structure increases, it becomes slenderer and more sensitive to wind loads. So, any increase in the structure height that was not considered during the initial stages of the design process will cause many structural issues. For such a problem, structural retrofitting is suggested to resist wind loads and satisfy safety and serviceability requirements. The strategy of retrofitting includes adding structural steel wind-resisting systems in the openings of the structural plan. This paper proposes an optimization technique for steel systems used to retrofit high-rise buildings, which aims to reduce the weight of the steel system keeping the building meeting the constraints of lateral displacement at the top of the building using Genetic Algorithm (GA) as an optimization algorithm. Integrated with CSI ETABS, the Visual Basic application is designed to perform this task. The proposed technique is applied to two cases of reinforced concrete buildings that are vulnerable to wind loads. The first case depicts a sense of consistency within buildings, while the second case exemplifies instances of irregularity in architectural design. Both cases are studied at heights of 15, 18, 21, 24, and 27 stories. The results show that strengthening a building using the optimized steel-braced frame is an efficient technique. The stiffness distribution of the optimum retrofitting system is concluded and formulas describing this distribution are derived.

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Multi-objective optimization of outriggers in high-rise buildings subjected to wind loads

Cited by 2 publications

References 10 publications

Multi‐objective optimization design of concrete outriggers based on Genetic–HookeJeeves algorithm: Reducing lateral deflection, differential axial shortening, and construction cost of the structure

Multi‐objective optimization design of concrete outriggers based on Genetic–HookeJeeves algorithm: Reducing lateral deflection, differential axial shortening, and construction cost of the structure

Optimization of High-Rise Building Retrofitting Against Wind Loads

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