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By performing a large number of fully resolved simulations of incompressible homogeneous and isotropic two dimensional turbulence, we study the scaling behavior of the maximal Lyapunov exponent, the Kolmogorov-Sinai entropy and attractor…

流体动力学 · 物理学 2020-07-01 Daniel Clark , Lukas Tarra , Arjun Berera

We study the chaoticity and the predictability of a turbulent flow on the basis of high-resolution direct numerical simulations at different Reynolds numbers. We find that the Lyapunov exponent of turbulence, which measures the exponential…

流体动力学 · 物理学 2017-08-09 G. Boffetta , S. Musacchio

In order to better understand deviations from equilibrium in turbulent flows, it is meaningful to characterize the dynamics rather than the statistics of turbulence. To this end, the Lyapunov theory provides a useful description of…

流体动力学 · 物理学 2019-10-28 Malik Hassanaly , Venkat Raman

Lyapunov exponents measure the average exponential growth rate of typical linear perturbations in a chaotic system, and the inverse of the largest exponent is a measure of the time horizon over which the evolution of the system can be…

流体动力学 · 物理学 2017-11-22 Prakash Mohan , Nicholas Fitzsimmons , Robert D. Moser

By tracking the divergence of two initially close trajectories in phase space in an Eulerian approach to forced turbulence, the relation between the maximal Lyapunov exponent $\lambda$, and the Reynolds number $Re$ is measured using direct…

流体动力学 · 物理学 2018-01-31 A. Berera , R. D. J. G. Ho

Using direct numerical simulations of isotropic turbulence in periodic cubes of several sizes, the largest being $8192^3$ yielding a microscale Reynolds number of $1300$, we study the properties of pressure Laplacian to understand…

流体动力学 · 物理学 2019-05-22 Kartik P Iyer , Jörg Schumacher , Katepalli R Sreenivasan , P K Yeung

We present a heuristic derivation of the maximal Lyapunov exponent $\gamma$ of homogeneous turbulence which yields two new relations, a sweeping relation and the scaling of the uncertainty field's integral length $L_{\Delta}$. These…

流体动力学 · 物理学 2025-07-29 Jin Ge , Joran Rolland , John Christos Vassilicos

The present work analyzes the statistics of finite scale local Lyapunov exponents of pairs of fluid particles trajectories in fully developed incompressible homogeneous isotropic turbulence. According to the hypothesis of fully developed…

流体动力学 · 物理学 2018-06-12 Nicola de Divitiis

We relate the intermittent fluctuations of velocity gradients in turbulence to a whole range of local dissipation scales generalizing the picture of a single mean dissipation length. The statistical distribution of these local dissipation…

流体动力学 · 物理学 2007-10-29 Joerg Schumacher

The present work analyzes the distribution function of the finite scale local Lyapunov exponent of a pair fluid particles trajectories in fully developed incompressible homogeneous isotropic turbulence. According to the hypothesis of fully…

流体动力学 · 物理学 2017-06-08 Nicola de Divitiis

Deep autoencoder neural networks can generate highly accurate, low-order representations of turbulence. We design a new family of autoencoders which are a combination of a 'dense-block' encoder-decoder structure (Page et al, J. Fluid Mech.…

流体动力学 · 物理学 2025-10-22 Andrew Cleary , Jacob Page

We investigate the predictability problem in dynamical systems with many degrees of freedom and a wide spectrum of temporal scales. In particular, we study the case of $3D$ turbulence at high Reynolds numbers by introducing a finite-size…

chao-dyn · 物理学 2009-10-28 E. Aurell , G. Boffetta , A. Crisanti , G. Paladin , A. Vulpiani

From a database of direct numerical simulations of homogeneous and isotropic turbulence, generated in periodic boxes of various sizes, we extract the spherically symmetric part of moments of velocity increments and first verify the…

流体动力学 · 物理学 2020-05-20 Kartik P. Iyer , Katepalli R. Sreenivasan , P. K. Yeung

Lyapunov exponents of heavy particles and tracers advected by homogeneous and isotropic turbulent flows are investigated by means of direct numerical simulations. For large values of the Stokes number, the main effect of inertia is to…

混沌动力学 · 物理学 2009-11-11 Jeremie Bec , Luca Biferale , Guido Boffetta , Massimo Cencini , Stefano Musacchio , Federico Toschi

In the context of the analysis of the chaotic properties of homogeneous and isotropic turbulence, direct numerical simulations are used to study the fluctuations of the finite time Lyapunov exponent (FTLE) and its relation to Reynolds…

流体动力学 · 物理学 2020-02-19 Richard Ho , Andres Armua , Arjun Berera

The growth by condensation of small water droplets in a three-dimensional homogeneous isotropic turbulent flow is considered. Within a simple model of advection and condensation, the dynamics and growth of millions of droplets are…

混沌动力学 · 物理学 2008-07-15 Alessandra S. Lanotte , Agnese Seminara , Federico Toschi

The pressure spectrum and structure function in homogeneous steady turbulence of an incompressible fluid is studied using direct numerical simulation. The resolution of the simulation is up to $1024^3$ and the Taylor microscale Reynolds…

混沌动力学 · 物理学 2007-05-23 Toshiyuki Gotoh , Daigen Fukayama

We study Lyapunov exponents of tracers in compressible homogeneous isotropic turbulence at different turbulent Mach number $M_t$ and Taylor-scale Reynolds number $Re_\lambda$. We demonstrate that statistics of finite-time Lyapunov exponents…

流体动力学 · 物理学 2023-12-04 Haijun Yu , Itzhak Fouxon , Jianchun Wang , Xiangru Li , Li Yuan , Shipeng Mao , Michael Mond

Universal properties of turbulence have been associated traditionally with very high Reynolds numbers, but recent work has shown that the onset of the power-laws in derivative statistics occurs at modest microscale Reynolds numbers of the…

流体动力学 · 物理学 2023-04-26 Sualeh Khurshid , Diego Donzis , Katepalli R. Sreenivasan

Turbulent flows are strongly chaotic and unpredictable, with a Lyapunov exponent that increases with the Reynolds number. Here, we study the chaoticity of the Surface Quasi-geostrophic system, a two-dimensional model for geophysical flows…

流体动力学 · 物理学 2025-07-28 V. J. Valadão , F. De Lillo , S. Musacchio , G. Boffetta
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