Abu-Zidan Yousef, Mendis Priyan, Gunawardena Tharaka
Department of Infrastructure Engineering, The University of Melbourne, VIC 3010, Australia.
Heliyon. 2021 Apr 14;7(4):e06723. doi: 10.1016/j.heliyon.2021.e06723. eCollection 2021 Apr.
Recently, there has been a growing interest in utilizing computational fluid dynamics (CFD) for wind resistant design of tall buildings. A key factor that influences the accuracy and computational expense of CFD simulations is the size of the computational domain. In this paper, the effect of the computational domain on CFD predictions of wind loads on tall buildings is investigated with a series of sensitivity studies. Four distinct sources of domain error are identified which include wind-blocking effects caused by short upstream length, flow recirculation due to insufficient downstream length, global venturi effects due to large blockage ratios, and local venturi effects caused by insufficient clearance between the building and top and lateral domain boundaries. Domains based on computational wind engineering guidelines are found to be overly conservative when applied to tall buildings, resulting in uneconomic grids with a large cell count. A framework for optimizing the computational domain is proposed which is based on monitoring sensitivity of key output metrics to variations in domain dimensions. The findings of this paper help inform modellers of potential issues when optimizing the computational domain size for tall building simulations.
最近,利用计算流体动力学(CFD)进行高层建筑抗风设计的兴趣日益浓厚。影响CFD模拟准确性和计算成本的一个关键因素是计算域的大小。本文通过一系列敏感性研究,探讨了计算域对高层建筑风荷载CFD预测的影响。识别出了四种不同的域误差来源,包括上游长度过短引起的风阻挡效应、下游长度不足导致的流动再循环、阻塞比过大引起的全局文丘里效应以及建筑物与顶部和侧向域边界之间间隙不足导致的局部文丘里效应。发现基于计算风工程准则的域应用于高层建筑时过于保守,导致网格不经济且单元数量庞大。提出了一个基于监测关键输出指标对域尺寸变化敏感性的计算域优化框架。本文的研究结果有助于为建模人员在优化高层建筑模拟的计算域大小时提供潜在问题的参考。