A dissipative random velocity field for fully developed fluid turbulence
arXiv:1510.00599 · doi:10.1017/jfm.2016.166
Abstract
We investigate the statistical properties, based on numerical simulations and analytical calculations, of a recently proposed stochastic model for the velocity field of an incompressible, homogeneous, isotropic and fully developed turbulent flow. A key step in the construction of this model is the introduction of some aspects of the vorticity stretching mechanism that governs the dynamics of fluid particles along their trajectory. An additional further phenomenological step aimed at including the long range correlated nature of turbulence makes this model depending on a single free parameter that can be estimated from experimental measurements. We confirm the realism of the model regarding the geometry of the velocity gradient tensor, the power-law behaviour of the moments of velocity increments (i.e. the structure functions), including the intermittent corrections, and the existence of energy transfers across scales. We quantify the dependence of these basic properties of turbulent flows on the free parameter and derive analytically the spectrum of exponents of the structure functions in a simplified non dissipative case. A perturbative expansion in power of shows that energy transfers, at leading order, indeed take place, justifying the dissipative nature of this random field.
38 pages, 5 figures
References in corpus (2)
Cited by in corpus (22)
- High-frequency analysis of parabolic stochastic PDEs
- Regularized fractional Ornstein-Uhlenbeck processes, and their relevance to the modeling of fluid turbulence
- A multifractal model for the velocity gradients dynamics in turbulent flows
- Subcritical multiplicative chaos for regularized counting statistics from random matrix theory
- Modelling Lagrangian velocity and acceleration in turbulent flows as infinitely differentiable stochastic processes
- Emergence of skewed non-Gaussian distributions of velocity increments in isotropic turbulence
- Magnetic fields from Multiplicative Chaos
- Continuous cascades in the wavelet space as models for synthetic turbulence
- Multifractality Breaking from Bounded Random Measures
- Stochastic interpolation of sparsely sampled time series by a superstatistical random process and its synthesis in Fourier and wavelet space
- Towards Synthetic Magnetic Turbulence with Coherent Structures
- Flow of Spatiotemporal Turbulentlike Random Fields
- Quantifying Non-Stationarity with Information Theory
- Space-time statistics of a linear dynamical energy cascade model
- Schrödinger PCA: On the Duality between Principal Component Analysis and Schrödinger Equation
- Numerical simulations of a stochastic dynamics leading to cascades and loss of regularity: applications to fluid turbulence and generation of fractional Gaussian fields
- Shot noise multifractal model for turbulent pseudo-dissipation
- Multifractal Fractional Ornstein-Uhlenbeck Processes
- A spatio-temporal random synthetic turbulent velocity field: The underlying Gaussian structure
- Synthetic Turbulence via an Instanton Gas Approximation
- Random fragmentation of turbulent molecular clouds lying in the central region of giant galaxies
- Dynamical Fractional and Multifractal Fields