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As one of the violent flow, tornadoes occur in many place of the world. In order to reduce human losses and material damage caused by tornadoes, there are many research methods. One of the effective methods is numerical simulations such as…

偏微分方程分析 · 数学 2016-05-04 Pen-Yuan Hsu , Hirofumi Notsu , Tsuyoshi Yoneda

Turbulent channel flow controlled by spanwise wall oscillations is studied using direct numerical simulations to improve how spanwise forcing reduces skin-friction drag. Harmonic wall oscillations generate a periodic transverse Stokes layer…

流体动力学 · 物理学 2026-04-15 Maurizio Quadrio , Federica Gattere , Marco Castelletti , Alessandro Chiarini

Resolvent analysis of the linearized Navier-Stokes equations provides useful insight into the dynamics of transitional and turbulent flows and can provide a model for the dominant coherent structures within the flow, particularly for flows…

流体动力学 · 物理学 2021-07-01 Eduardo Martini , Daniel Rodríguez , Aaron Towne , André V. G. Cavalieri

Direct numerical simulation of the Navier-Stokes equations is carried out to investigate the interaction of a conical shock wave with a turbulent boundary layer developing over a flat plate at free-stream Mach number $M_\infty = 2.05$ and…

流体动力学 · 物理学 2019-10-02 Feng-Yuan Zuo , Antonio Memmolo , Guo-ping Huang , Sergio Pirozzoli

Simulation of turbulent flows at high Reynolds number is a computationally challenging task relevant to a large number of engineering and scientific applications in diverse fields such as climate science, aerodynamics, and combustion.…

We extend the numerical simulations of She et al. [Phys.\ Rev.\ Lett.\ 70, 3251 (1993)] of highly turbulent flow with $15 \le$ Taylor-Reynolds number $Re_\lambda\le 200$ up to $Re_\lambda \approx 45000$, employing a reduced wave vector set…

chao-dyn · 物理学 2009-10-22 Siegfried Grossmann , Detlef Lohse

An essential ingredient of turbulent flows is the vortex stretching mechanism, which emanates from the non-linear interaction of vorticity and strain-rate tensor and leads to formation of extreme events. We analyze the statistical…

流体动力学 · 物理学 2020-10-13 Dhawal Buaria , Eberhard Bodenschatz , Alain Pumir

In Part 1 of this work, we have derived a dynamical system describing the approach to a finite-time singularity of the Navier-Stokes equations. We now supplement this system with an equation describing the process of vortex reconnection at…

流体动力学 · 物理学 2019-05-22 H. K. Moffatt , Yoshifumi Kimura

Turbulence locally created in laminar pipe flows shows sudden decay or splitting after a stochastic waiting time. In laboratory experiments, the mean waiting time was observed to increase double-exponentially as the Reynolds number (Re)…

流体动力学 · 物理学 2021-02-16 Takahiro Nemoto , Alexandros Alexakis

We revisit the issue of whether thermal fluctuations are relevant for incompressible fluid turbulence, and estimate the scale at which they become important. As anticipated by Betchov in a prescient series of works more than six decades…

流体动力学 · 物理学 2021-11-18 Gregory Eyink , Dmytro Bandak , Nigel Goldenfeld , Alexei A. Mailybaev

Turbulence modulation by inertial-range-size, neutrally-buoyant particles is investigated experimentally in a von K\'arm\'an flow. Increasing the particle volume fraction $\Phi_\mathrm{v}$, maintaining constant impellers Reynolds number…

流体动力学 · 物理学 2015-01-06 Mamadou Cisse , Ewe Wei Saw , Mathieu Gibert , Eberhard Bodenschatz , Jeremie Bec

The transition to turbulence in flows where the laminar profile is linearly stable requires perturbations of finite amplitude. "Optimal" perturbations are distinguished as extrema of certain functionals, and different functionals give…

流体动力学 · 物理学 2015-02-09 Marina Pausch , Bruno Eckhardt

We study the statistics of free-surface turbulence at large Reynolds numbers produced by direct numerical simulations in a fluid layer at different thickness with fixed characteristic forcing scale. We observe the production of a transient…

流体动力学 · 物理学 2022-12-12 G. Boffetta , A. Mazzino , S. Musacchio , M. E. Rosti

In this work, direct numerical simulations of the compressible fluid equations in turbulent regimes are performed. The behavior of the flow is either dominated by purely turbulent phenomena or by the generation of sound waves in it.…

流体动力学 · 物理学 2018-10-29 J. Cerretani , P. Dmitruk

Using a large number of numerical simulations we examine the steady state of rotating turbulent flows in triple periodic domains, varying the Rossby number $Ro$ (that measures the inverse rotation rate) and the Reynolds number $Re$ (that…

流体动力学 · 物理学 2018-03-14 Kannabiran Seshasayanan , Alexandros Alexakis

Temporally periodic solutions are extracted numerically from forced box turbulence with high symmetry. Since they are unstable to small perturbations, they are not found by forward integration but can be captured by Newton-Raphson…

流体动力学 · 物理学 2018-04-03 Lennaert van Veen , Shigeo Kida , Genta Kawahara

Turbulent mixing layers over cavities can couple with acoustic waves and lead to undesired oscillations. To understand the nonlinear aspects of this phenomenon, a turbulent mixing layer over a deep cavity at Reynolds number 150 000 is…

流体动力学 · 物理学 2019-10-04 Edouard Boujo , Michael Bauerheim , Nicolas Noiray

We present a new spectral method for the Direct Numerical Simulation of Magnetohydrodynamic turbulence at low Magnetic Reynolds number. The originality of our approach is that instead of using traditional bases of functions, it relies on…

流体动力学 · 物理学 2011-11-15 Alban Pothérat , Vitali Dymkou

This paper investigates the Reynolds number dependence of a turbulent mixing layer evolving from the Richtmyer-Meshkov instability using a series of direct numerical simulations of a well-defined narrowband initial condition for a range of…

流体动力学 · 物理学 2023-04-27 Michael Groom , Ben Thornber

Following the idea that dissipation in turbulence at high Reynolds number is by events singular in space-time and described by solutions of the inviscid Euler equations, we draw the conclusion that in such flows scaling laws should depend…

流体动力学 · 物理学 2020-01-01 Yves Pomeau , Martine Le Berre
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