Bulletin of the American Physical Society
74th Annual Meeting of the APS Division of Fluid Dynamics
Volume 66, Number 17
Sunday–Tuesday, November 21–23, 2021; Phoenix Convention Center, Phoenix, Arizona
Session H28: Computational Fluid Dynamics: LES, DNS, Hybrid RANS/LES I
8:00 AM–10:10 AM,
Monday, November 22, 2021
Room: North 228 AB
Chair: George Park, University of Pennsylvania
Abstract: H28.00005 : Leveraging LES data to investigate pressure peaks on high-rise buildings in neutral atmospheric boundary layers*
8:52 AM–9:05 AM
Presenter:
Mattia Fabrizio Ciarlatani
(Stanford University)
Authors:
Mattia Fabrizio Ciarlatani
(Stanford University)
Zhu Hwang
(Department of Civil Engineering, Stanford University)
David Philips
(Cascade Technologies)
Catherine Gorle
(Stanford Univ)
This work aims to validate an LES simulation of the flow about a high-rise building against experimental data and then leverage it to understand the physics driving pressure peak events. A synthetic, divergence-free turbulence generator is used to achieve an incoming ABL for the LES that matches experimental data. The pressure predicted over the surface of the building by the LES agrees well with the experimental data in terms of pressure mean, rms, and peak values.
The validated LES simulation is finally used to study peak events for the case of an incoming ABL with a wind direction of 20°. The instantaneous flow field in the vicinity of peak events is visualized and it is shown how eddies sheddeded from the shear layers on top of the roof of the building interact with edge separations to form the observed pressure peaks.
*This work is supported by the National Science Foundation under Grant Number 1635137. LES simulations were performed on XSEDE Stampede2 cluster.
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