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Impact of atmospheric boundary layer inhomogeneity in CFD simulations of tall buildings

journal contribution
posted on 2024-11-02, 17:30 authored by Yousef Abu-Zidan, Priyan Mendis, Tharaka Gunawardena
Recently, there has been a growing interest in utilizing computational fluid dynamics (CFD) for wind analysis of tall buildings. A key factor that influences the accuracy of CFD simulations in urban environments is the homogeneity of the atmospheric boundary layer (ABL). This paper aims to investigate solution inaccuracies in CFD simulations of tall buildings that are due to ABL inhomogeneity. The investigation involves two steps. In the first step, homogenous and inhomogeneous ABL conditions are generated in an empty computational domain by employing two different modelling approaches. In the second step, the homogenous and inhomogeneous conditions are each applied to an isolated tall building, and simulation results are compared to investigate impact of ABL inhomogeneity on wind load predictions. The study finds that ABL inhomogeneity can be a significant source of error and may compromise reliability of wind load predictions. The largest magnitude of inhomogeneity error occurred for pressure predictions on the windward building surface. Shortening the upstream domain length reduced inhomogeneity errors but increased errors due to wind-blocking effects. The study proposes a practical approach for detecting ABL inhomogeneity that is based on monitoring sensitivity of key output metrics to variations in upstream domain length.

Funding

ARC Training Centre for Advanced Manufacturing of Prefabricated Housing

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.heliyon.2020.e04274
  2. 2.
    ISSN - Is published in 24058440

Journal

Heliyon

Volume

6

Number

e04274

Issue

7

Start page

1

End page

11

Total pages

11

Publisher

Elsevier

Place published

United Kingdom

Language

English

Copyright

© 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).

Former Identifier

2006110161

Esploro creation date

2021-10-07