Introduction to Focus Issue: Two-Dimensional Turbulence

Falkovich, Gregory; Boffetta, G.; Shats, Michael; Lanotte, Alessandra S.

doi:10.1063/1.5012997

Cited by 18 publications

(10 citation statements)

References 18 publications

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“…In 2D turbulence, the energy cascade is artificially inverted and goes from small to large scales (Kraichnan 1967). As a result, the flow tends to organise itself into large vortices, and dissipation occurs primarily in boundary layers (Falkovich et al 2017; Clercx and van Heijst 2017).…”

Section: Interior Flowmentioning

confidence: 99%

Hydrodynamics of core-collapse supernovae and their progenitors

Müller¹

2020

Living Rev Comput Astrophys

161

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Multi-dimensional fluid flow plays a paramount role in the explosions of massive stars as core-collapse supernovae. In recent years, three-dimensional (3D) simulations of these phenomena have matured significantly. Considerable progress has been made towards identifying the ingredients for shock revival by the neutrino-driven mechanism, and successful explosions have already been obtained in a number of selfconsistent 3D models. These advances also bring new challenges, however. Prompted by a need for increased physical realism and meaningful model validation, supernova theory is now moving towards a more integrated view that connects multi-dimensional phenomena in the late convective burning stages prior to collapse, the explosion engine, and mixing instabilities in the supernova envelope. Here we review our current understanding of multi-D fluid flow in core-collapse supernovae and their progenitors. We start by outlining specific challenges faced by hydrodynamic simulations of core-collapse supernovae and of the late convective burning stages. We then discuss recent advances and open questions in theory and simulations.

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Section: Interior Flowmentioning

confidence: 99%

Hydrodynamics of core-collapse supernovae and their progenitors

Müller¹

2020

Living Rev Comput Astrophys

161

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“…There is a growing realization that 2D turbulence is far more ubiquitous than it was originally expected [6][7][8][9][10]. Two-dimensional turbulence supports an inverse energy cascade that transfers energy from small to larger scales.…”

Section: Introductionmentioning

confidence: 99%

Rectification of chaotic fluid motion in two-dimensional turbulence

et al. 2018

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Turbulence is a mechanism leading to energy dissipation, however it also accumulates energy by spreading it over a range of scales. This valuable energy reservoir is known as the inertial interval. The broader this interval is, the more energy is stored and an interesting question is whether it is possible to efficiently use this energy. Recent advances in the understanding of turbulence rely on the trajectory-based or Lagrangian description of the flow. Here we show how to extract energy from the inertial interval of two-dimensional turbulence by taking advantage of its fine Lagrangian structure. A floating object in wavedriven turbulence can exploit the fluid erratic motion to fuel either directional propulsion or rotation. The shape of the object controls its ability to become a vehicle or a rotor that can tap the energy of correlated bundles of fluid trajectories. These findings offer methods of creating self-propelled devices or turbines utilizing the energy of turbulence.

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“…9,10 Overall, there is an agreement between theory, numerical simulations, and laboratory experiments on the main Eulerian statistics of 2D turbulence such as energy distribution between the scales. 13,14 For problems related to the particle dispersion, such as mass transport, one needs to adopt a Lagrangian perspective and consider the fluid motion in the frame of moving fluid particles. The classical prediction by Richardson,15 who considered a problem of a mean squared separation of initially close particles in a dispersing cloud, is that the diffusion coefficient should scale as K = C R R 4/3 , where C R is a constant and R is the distance between two particles.…”

Section: Introductionmentioning

confidence: 99%

Local anisotropy of laboratory two-dimensional turbulence affects pair dispersion

et al. 2019

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Experimental investigation of particle pair separation is conducted in two types of laboratory two-dimensional turbulence under a broad range of experimental conditions. In the range of scales corresponding to the inverse energy cascade inertial interval, the particle pair separation exhibits diffusive behaviour. The analysis of the pair velocity correlations suggests the existence of coherent bundles or clusters of non-diverging fluid particles. Such bundles are also detected using a recently developed topological tool based on the concept of braids. The bundles are observed as meandering streams whose width is determined by the turbulence forcing scale. In such locally anisotropic turbulence, the particle pair dispersion depends on the initial particle separation and on the width of the bundles.

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Introduction to Focus Issue: Two-Dimensional Turbulence

Abstract: This article introduces the Focus Issue on Two-Dimensional Turbulence appearing in Physics of Fluids (Volume 29, Issue 11, November 2017).

Cited by 18 publications

References 18 publications

Hydrodynamics of core-collapse supernovae and their progenitors

Hydrodynamics of core-collapse supernovae and their progenitors

Rectification of chaotic fluid motion in two-dimensional turbulence

Local anisotropy of laboratory two-dimensional turbulence affects pair dispersion

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