C
Con J. Doolan
Researcher at University of New South Wales
Publications - 241
Citations - 3733
Con J. Doolan is an academic researcher from University of New South Wales. The author has contributed to research in topics: Noise & Reynolds number. The author has an hindex of 29, co-authored 228 publications receiving 3004 citations. Previous affiliations of Con J. Doolan include University of Queensland & University of Adelaide.
Papers
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Journal ArticleDOI
Airborne or droplet precautions for health workers treating COVID-19?
Prateek Bahl,Con J. Doolan,Charitha de Silva,Abrar Ahmad Chughtai,Lydia Bourouiba,C. Raina MacIntyre,C. Raina MacIntyre +6 more
TL;DR: The weight of combined evidence supports airborne precautions for the occupational health and safety of health workers treating patients with COVID-19, and suggests that infections cannot neatly be separated into the dichotomy of droplet versus airborne transmission routes.
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Noise-Reduction Mechanism of a Flat-Plate Serrated Trailing Edge
Danielle J. Moreau,Con J. Doolan +1 more
TL;DR: In this article, the results of an experimental investigation exploring the noise-reduction potential of sawtooth trailing-edge serrations on a flat plate at low-to-moderate Reynolds number (1.6×105
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Low Reynolds number flow over a square cylinder with a splitter plate
TL;DR: In this article, the authors numerically investigated a square cylinder of side length D with and without a splitter plate at a Reynolds number of 150 and found that splitter plates introduce a strong hydrodynamic interaction to the near wake of the cylinder and the length of the plate affects significantly the flow structure.
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A review of flow-induced noise from finite wall-mounted cylinders
TL;DR: In this paper, the authors reviewed previous studies on the flow around and flow-induced noise produced by a finite wall-mounted cylinder (FWMC) of circular and square cross section.
Grid convergence study for a two-dimensional simulation of flow around a square cylinder at a low reynolds number
TL;DR: This paper describes a systematic method of refining a computational grid for the Direct Numerical Simulation of flow about a square cylinder and shows that the finest grid solution has a Grid Convergence Index (GCI) of less than 5%.