3,777 research outputs found
Stochastic representation of the Reynolds transport theorem: revisiting large-scale modeling
We explore the potential of a formulation of the Navier-Stokes equations
incorporating a random description of the small-scale velocity component. This
model, established from a version of the Reynolds transport theorem adapted to
a stochastic representation of the flow, gives rise to a large-scale
description of the flow dynamics in which emerges an anisotropic subgrid
tensor, reminiscent to the Reynolds stress tensor, together with a drift
correction due to an inhomogeneous turbulence. The corresponding subgrid model,
which depends on the small scales velocity variance, generalizes the Boussinesq
eddy viscosity assumption. However, it is not anymore obtained from an analogy
with molecular dissipation but ensues rigorously from the random modeling of
the flow. This principle allows us to propose several subgrid models defined
directly on the resolved flow component. We assess and compare numerically
those models on a standard Green-Taylor vortex flow at Reynolds 1600. The
numerical simulations, carried out with an accurate divergence-free scheme,
outperform classical large-eddies formulations and provides a simple
demonstration of the pertinence of the proposed large-scale modeling
Lagrangian single particle turbulent statistics through the Hilbert-Huang Transform
The Hilbert-Huang transform is applied to analyze single particle Lagrangian
velocity data from numerical simulations of hydrodynamic turbulence. The
velocity trajectory is described in terms of a set of intrinsic mode functions,
C_{i}(t), and of their instantaneous frequency, \omega_{i}(t). On the basis of
this decomposition we define the \omega-conditioned statistical moments of the
C_{i} modes, named q-order Hilbert Spectra (HS). We show that such new
quantities have enhanced scaling properties as compared to traditional Fourier
transform- or correlation-based (Structure Functions) statistical indicators,
thus providing better insights into the turbulent energy transfer process. We
present a clear empirical evidence that the energy-like quantity, i.e. the
second-order HS, displays a linear scaling in time in the inertial range, as
expected from dimensional analysis and never observed before. We also measure
high order moment scaling exponents in a direct way, without resorting the
Extended Self Similarity (ESS) procedure. This leads to a new estimate of the
Lagrangian structure functions exponents which are consistent with the
multifractal prediction in the Lagrangian frame as proposed in [Biferale et
al., Phys. Rev. Lett. vol. 93, 064502 (2004)].Comment: 5 pages, 5 figure
- …