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Enhancing wind performance of tall buildings using corner aerodynamic optimization
HighlightsAutomated optimization procedure for reducing wind load on tall buildings is developed.Turbulent atmospheric boundary flow and wind directionality are considered.Two application examples for minimizing drag and lift, respectively, are presented.Neural networks trained with 3D LES of 2D flows are used to evaluate the objective functions.Optimal shapes are verified by comparing wind-induced responses using 3D LES of 3D flow.
AbstractWind-induced loads and motions of tall buildings usually govern the design of the lateral load resisting systems. The outer shape of the building is one of the many parameters that affect these design wind loads and responses. This study presents building corner aerodynamic optimization procedure (AOP) to reduce the wind load, by coupling an optimization algorithm, large eddy simulation (LES) and an artificial neural network (ANN) based surrogate model. As an illustration, corner mitigation that has limited effect on both the structural and the architectural design is presented. Two aerodynamic optimization examples focusing on drag and lift minimization that consider wind directionality and turbulence are presented. For example, reductions in the order of more than 30% both in along- and across-wind responses are obtained through a two-surface chamfering that was constrained to 20% of the building width.
Enhancing wind performance of tall buildings using corner aerodynamic optimization
HighlightsAutomated optimization procedure for reducing wind load on tall buildings is developed.Turbulent atmospheric boundary flow and wind directionality are considered.Two application examples for minimizing drag and lift, respectively, are presented.Neural networks trained with 3D LES of 2D flows are used to evaluate the objective functions.Optimal shapes are verified by comparing wind-induced responses using 3D LES of 3D flow.
AbstractWind-induced loads and motions of tall buildings usually govern the design of the lateral load resisting systems. The outer shape of the building is one of the many parameters that affect these design wind loads and responses. This study presents building corner aerodynamic optimization procedure (AOP) to reduce the wind load, by coupling an optimization algorithm, large eddy simulation (LES) and an artificial neural network (ANN) based surrogate model. As an illustration, corner mitigation that has limited effect on both the structural and the architectural design is presented. Two aerodynamic optimization examples focusing on drag and lift minimization that consider wind directionality and turbulence are presented. For example, reductions in the order of more than 30% both in along- and across-wind responses are obtained through a two-surface chamfering that was constrained to 20% of the building width.
Enhancing wind performance of tall buildings using corner aerodynamic optimization
Elshaer, Ahmed (author) / Bitsuamlak, Girma (author) / El Damatty, Ashraf (author)
Engineering Structures ; 136 ; 133-148
2017-01-09
16 pages
Article (Journal)
Electronic Resource
English
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