2017
DOI: 10.1103/physrevfluids.2.052602
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Multiscale anisotropic fluctuations in sheared turbulence with multiple states

Abstract: We use high resolution direct numerical simulations to study the anisotropic contents of a turbulent, statistically homogeneous flow with random transitions among multiple energy containing states. We decompose the velocity correlation functions on different sectors of the three dimensional group of rotations, SO(3), using a high-precision quadrature. Scaling properties of anisotropic components of longitudinal and transverse velocity fluctuations are accurately measured at changing Reynolds numbers. We show t… Show more

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Cited by 21 publications
(12 citation statements)
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References 47 publications
(73 reference statements)
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“…Such abrupt transitions between turbulent states in a more general sense are a remarkable feature of fluid turbulence and have received much recent interest, being observed in various different flow settings, e.g. in torque measurements of Taylor-Couette and Von Kármán flows (Ravelet et al 2004;Saint-Michel et al 2013;Huisman et al 2014), in states of stochastically forced 2-D and 3-D turbulence (Bouchet & Simonnet 2009;Iyer et al 2017;Bouchet, Rolland & Simonnet 2019) and in reversals of the large-scale dynamics in thin layers (Sommeria 1986;Michel et al 2016;Dallas, Seshasayanan & Fauve 2020). These types of abrupt transition are surmised to play an important role in, for example, climate research (Weeks et al 1997;Jackson & Wood 2018;Herbert, Caballero & Bouchet 2020) and in understanding the geomagnetic reversal (Berhanu et al 2007;Pétrélis et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…Such abrupt transitions between turbulent states in a more general sense are a remarkable feature of fluid turbulence and have received much recent interest, being observed in various different flow settings, e.g. in torque measurements of Taylor-Couette and Von Kármán flows (Ravelet et al 2004;Saint-Michel et al 2013;Huisman et al 2014), in states of stochastically forced 2-D and 3-D turbulence (Bouchet & Simonnet 2009;Iyer et al 2017;Bouchet, Rolland & Simonnet 2019) and in reversals of the large-scale dynamics in thin layers (Sommeria 1986;Michel et al 2016;Dallas, Seshasayanan & Fauve 2020). These types of abrupt transition are surmised to play an important role in, for example, climate research (Weeks et al 1997;Jackson & Wood 2018;Herbert, Caballero & Bouchet 2020) and in understanding the geomagnetic reversal (Berhanu et al 2007;Pétrélis et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…the isotropic sector (δ r θ) p 0 extracted from the SO(3) decomposition [44,45] of S p θ (r), is only a function of scalar separation r [46]. For scale r in the inertial range, η K ≪ r ≪ ℓ, where ℓ is the integral scale of the velocity field, taken as r/η K ∈ [30, 300] [41], (δ r θ) p 0 are found to follow power laws, (δ r θ) p 0 ∼ r ζ θ p , where ζ θ p denote the pth order scaling exponents.…”
mentioning
confidence: 99%
“…where • denotes space, time and angle (or spherical) averages [34,35]. The angle averaging is performed to obtain the isotropic sector of S (n,m) (r) from its SO(3) expansion [36,37].…”
Section: Numerical Method Flow Parameters and Definitionsmentioning
confidence: 99%