2016
DOI: 10.1146/annurev-fluid-122414-034550
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Quadrant Analysis in Turbulence Research: History and Evolution

Abstract: Quadrant analysis is a simple, but quite useful, turbulence data-processing technique that has been widely used, principally in the investigation of turbulent shear flows. This article traces the origins of the technique and reviews how it has been applied during the more than 40 years since it was conceived. Applications are highlighted that have expanded the technique beyond its original formulation.

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Cited by 293 publications
(186 citation statements)
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“…We found that 53% of the negative RSS comes from ejection events, while 47% of the negative RSS from sweep events, which respectively accounts for 40% and 35% of the total RSS. These results are consistent with the measurements by Nagano & Tagawa (1998) in a turbulent pipe flow, also reported in Wallace (2016). As observed in several analyses from literature (Lozano-Durán et al 2012, Lozano-Durán & Jiménez 2014, Robinson 1991, the individual contributions of each of the quadrant events to the total RSS strongly depends on the wall-normal location.…”
Section: Intense Rss Eventssupporting
confidence: 92%
“…We found that 53% of the negative RSS comes from ejection events, while 47% of the negative RSS from sweep events, which respectively accounts for 40% and 35% of the total RSS. These results are consistent with the measurements by Nagano & Tagawa (1998) in a turbulent pipe flow, also reported in Wallace (2016). As observed in several analyses from literature (Lozano-Durán et al 2012, Lozano-Durán & Jiménez 2014, Robinson 1991, the individual contributions of each of the quadrant events to the total RSS strongly depends on the wall-normal location.…”
Section: Intense Rss Eventssupporting
confidence: 92%
“…For a comprehensive overview on quadrant analysis see Ref. [18]. The turbulent heat flux can be decomposed into four different terms or quadrants, which can be summarized as (1)…”
Section: F Contributions Of Turbulent Heat Flux Quadrants To the Nusmentioning
confidence: 99%
“…From the discussion of figure 14, it is evident that such an event leads to negative amplification of the local acoustic mode, which should appear as a negative fluctuation in −∂ψ A /∂x. The quadrant analysis described in Wallace (2016) is used to establish this connection, using ω θ and −∂ψ A /∂x, and the results are provided in figure 16. The joint probability distribution function (JPDF) of these two signals, using the time history at a typical location in the core ((x, r) = (5.5, 0.25)), is shown in (a).…”
Section: Core Dynamics Of the Acoustic Modementioning
confidence: 99%