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PMID: 33912709 Published · epublish English Journal Article

Optimising the computational domain size in CFD simulations of tall buildings.

Heliyon ·Vol. 7 ·No. 4 ·2021-04-00 ·页码 e06723

Abu-Zidan Y, Mendis P, Gunawardena T

Abstract

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.

Keywords
CFD simulation Computational domain Tall buildings Venturi effect Wind loading
作者与单位
共 3 位作者,点击展开单位 / ORCID
Abu-Zidan Yousef
Department of Infrastructure Engineering, The University of Melbourne, VIC 3010, Australia.
Mendis Priyan
Department of Infrastructure Engineering, The University of Melbourne, VIC 3010, Australia.
Gunawardena Tharaka
Department of Infrastructure Engineering, The University of Melbourne, VIC 3010, Australia.
Article Info
Journal
Heliyon
Abbr.
Heliyon
ISSN
2405-8440
Published
2021-04-00
电子出版
2021-00-14
页码
e06723
Language
English
Country/Region
England
NLM ID
101672560
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