Showing 2017 · physics.flu-dynShow all

25 papers · 2 filters

physics.flu-dyn2017★ 75 cited

Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning

K. Gustavsson, L. Biferale, A. Celani +1

We apply a reinforcement learning algorithm to show how smart particles can learn approximately optimal strategies to navigate in complex flows. In this paper we consider microswim…

physics.flu-dyn2017★ 84 cited

Controlling heat transport and flow structures in thermal turbulence using ratchet surfaces

Hechuan Jiang, Xiaojue Zhu, Varghese Mathai +3

In this combined experimental and numerical study on thermally driven turbulence in a rectangular cell, the global heat transport and the coherent flow structures are controlled wi…

physics.flu-dyn2017★ 14 cited

Two-Scalar Turbulent Rayleigh-Benard Convection: Numerical Simulations and Unifying Theory

Yantao Yang, Roberto Verzicco, Detlef Lohse

We conduct direct numerical simulations for turbulent Rayleigh-Bénard (RB) convection, driven simultaneously by two scalar components (say, temperature and salt concentration) with…

physics.flu-dyn2017★ 16 cited

Dynamics of partially thermalized solutions of the Burgers equation

P. Clark di Leoni, P. D. Mininni, M. -E. Brachet

The spectrally truncated, or finite dimensional, versions of several equations of inviscid flows display transient solutions which match their viscous counterparts, but which event…

physics.flu-dyn2017★ 7 cited

Finite temperature effects in helical quantum turbulence

P. Clark di Leoni, P. D. Mininni, M. -E. Brachet

We perform a study on the evolution of helical quantum turbulence at different temperatures by solving numerically the Gross-Pitaevskii and the Stochastic Ginzburg-Landau equations…

physics.flu-dyn2017★ 59 cited

Energy transfer in turbulence under rotation

Michele Buzzicotti, Hussein Aluie, Luca Biferale +1

It is known that rapidly rotating turbulent flows are characterized by the emergence of simultaneous upscale and downscale energy transfer. Indeed, both numerics and experiments sh…

physics.flu-dyn2017★ 49 cited

Smart Inertial Particles

Simona Colabrese, Kristian Gustavsson, Antonio Celani +1

We performed a numerical study to train smart inertial particles to target specific flow regions with high vorticity through the use of reinforcement learning algorithms. The parti…

physics.flu-dyn2017★ 15 cited

Lattice Boltzmann simulations of droplet dynamics in time-dependent flows

F. Milan, M. Sbragaglia, L. Biferale +1

We study the deformation and dynamics of droplets in time-dependent flows using 3D numerical simulations of two immiscible fluids based on the lattice Boltzmann model (LBM). Analyt…

physics.flu-dyn2017★ 51 cited

Energy Cascade and Intermittency in Helically Decomposed Navier-Stokes Equations

Ganapati Sahoo, Luca Biferale

We study the nature of the triadic interactions in Fourier space for three-dimensional Navier-Stokes equations based on the helicity content of the participating modes. Using the t…

physics.flu-dyn2017★ 12 cited

Statistics of turbulence in the energy-containing range of Taylor-Couette compared to canonical wall-bounded flows

Dominik Krug, Xiang I. A. Yang, Charitha M. de Silva +4

Considering structure functions of the streamwise velocity component in a framework akin to the extended self-similarity hypothesis (ESS), de Silva \textit{et al.} (\textit{J. Flui…

physics.flu-dyn2017★ 19 cited

Deformable ellipsoidal bubbles in Taylor-Couette flow with enhanced Euler-Lagrange tracking

Vamsi Spandan, Roberto Verzicco, Detlef Lohse

In this work we present numerical simulations of sub-Kolmogorov deformable bubbles dispersed in Taylor-Couette flow (a wall-bounded shear system) with rotating inner cylinde…

physics.flu-dyn2017★ 9 cited

A closure theory for the split energy-helicity cascades in homogeneous isotropic homochiral turbulence

Antoine Briard, Luca Biferale, Thomas Gomez

We study the energy transfer properties of three dimensional homogeneous and isotropic turbulence where the non-linear transfer is altered in a way that helicity is made sign-defin…

physics.flu-dyn2017★ 55 cited

Effect of filter type on the statistics of energy transfer between resolved and subfilter scales from a-priori analysis of direct numerical simulations of isotropic turbulence

M. Buzzicotti, M. Linkmann, H. Aluie +3

The effects of different filtering strategies on the statistical properties of the resolved-to-sub-filter scale (SFS) energy transfer are analyzed in forced homogeneous and isotrop…

physics.flu-dyn2017★ 30 cited

From two-dimensional to three-dimensional turbulence through two-dimensional three-component flows

L. Biferale, M. Buzzicotti, M. Linkmann

The relevance of two-dimensional three-components (2D3C) flows goes well beyond their occurrence in nature, and a deeper understanding of their dynamics might be also helpful in or…

physics.flu-dyn2017★ 125 cited

AFiD-GPU: a versatile Navier-Stokes Solver for Wall-Bounded Turbulent Flows on GPU Clusters

Xiaojue Zhu, Everett Phillips, Vamsi Spandan +9

The AFiD code, an open source solver for the incompressible Navier-Stokes equations ({\color{blue}\burl{http://www.afid.eu}}), has been ported to GPU clusters to tackle large-scale…

physics.flu-dyn2017★ 122 cited

Roughness-facilitated local 1/2 scaling does not imply the onset of the ultimate regime of thermal convection

Xiaojue Zhu, Richard J. A. M. Stevens, Roberto Verzicco +1

In thermal convection, roughness is often used as a means to enhance heat transport, expressed in Nusselt number. Yet there is no consensus on whether the Nusselt vs. Rayleigh numb…

physics.flu-dyn2017★ 10 cited

Life stages of wall-bounded decay of Taylor-Couette turbulence

Rodolfo Ostilla-Mónico, Xiaojue Zhu, Vamsi Spandan +2

The decay of Taylor-Couette turbulence, i.e~the flow between two coaxial and independently rotating cylinders, is numerically studied by instantaneously stopping the forcing from a…

physics.flu-dyn2017★ 11 cited

Comparison of forcing functions in magnetohydrodynamic turbulence

Mairi E. McKay, Moritz Linkmann, Daniel Clark +2

Results are presented of direct numerical simulations of incompressible, homogeneous magnetohydrodynamic turbulence without a mean magnetic field, subject to different mechanical f…

physics.flu-dyn2017★ 91 cited

Confined Rayleigh-Bénard, Rotating Rayleigh-Bénard, and Double Diffusive Convection: A unifying view on turbulent transport enhancement through coherent structure manipulation

Kai Leong Chong, Yantao Yang, Shi-Di Huang +5

Many natural and engineering systems are simultaneously subjected to a driving force and a stabilizing force. The interplay between the two forces, especially for highly nonlinear…

physics.flu-dyn2017★ 36 cited

Mixed insulating and conducting thermal boundary conditions in Rayleigh-Bénard convection

Dennis Bakhuis, Rodolfo Ostilla-Mónico, Erwin P. van der Poel +2

A series of direct numerical simulations of Rayleigh-Bénard convection, the flow in a fluid layer heated from below and cooled from above, were conducted to investigate the effect…

physics.flu-dyn2017★ 13 cited

Triad interactions and the bidirectional turbulent cascade of magnetic helicity

Moritz Linkmann, Vassilios Dallas

Using direct numerical simulations we demonstrate that magnetic helicity exhibits a bidirectional turbulent cascade at high but finite magnetic Reynolds numbers. Despite the inject…

physics.flu-dyn2017★ 21 cited

Reynolds-number dependence of the dimensionless dissipation rate in homogeneous magnetohydrodynamic turbulence

Moritz Linkmann, Arjun Berera, Erin E. Goldstraw

This paper examines the behavior of the dimensionless dissipation rate for stationary and nonstationary magnetohydrodynamic (MHD) turbulence in presence of extern…

physics.flu-dyn2017★ 36 cited

Lagrangian Statistics for Navier-Stokes Turbulence under Fourier-mode reduction: Fractal and Homogeneous Decimations

Michele Buzzicotti, Akshay Bhatnagar, Luca Biferale +2

We study small-scale and high-frequency turbulent fluctuations in three-dimensional flows under Fourier-mode reduction. The Navier-Stokes equations are evolved on a restricted set…

physics.flu-dyn2017★ 241 cited

Flow Navigation by Smart Microswimmers via Reinforcement Learning

Simona Colabrese, Kristian Gustavsson, Antonio Celani +1

Smart active particles can acquire some limited knowledge of the fluid environment from simple mechanical cues and exert a control on their preferred steering direction. Their goal…