Enhancing wind performance of tall buildings using corner aerodynamic optimization

被引:143
作者
Elshaer, Ahmed [1 ]
Bitsuamlak, Girma [1 ]
El Damatty, Ashraf [1 ]
机构
[1] Univ Western Ontario, Dept Civil & Environm Engn, WindEEE Res Inst, London, ON N6A 3K7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Tall building; Wind load; Vibration; Wind direction; Turbulence; aerodynamics; optimization; LES; Genetic algorithm; Artificial neural network; RECTANGULAR CYLINDERS; INDUCED RESPONSES; NEURAL-NETWORKS; SQUARE CYLINDER; LES EVALUATION; TURBULENCE; FLOW; ENVIRONMENT; SIMULATION; PRESSURES;
D O I
10.1016/j.engstruct.2017.01.019
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Wind-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. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:133 / 148
页数:16
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