scholarly journals Lagrangian particle statistics in turbulent flows from a simple vortex model

2008 ◽  
Vol 77 (5) ◽  
Author(s):  
M. Wilczek ◽  
F. Jenko ◽  
R. Friedrich
2022 ◽  
Vol 7 (1) ◽  
Author(s):  
Jan Friedrich ◽  
Bianca Viggiano ◽  
Mickael Bourgoin ◽  
Raúl Bayoán Cal ◽  
Laurent Chevillard

2021 ◽  
Vol 927 ◽  
Author(s):  
J.G. Esler

It is well established that Lagrangian particle dispersion models, for inhomogeneous turbulent flows, must satisfy the ‘well-mixed condition’ of Thomson (J. Fluid Mech., vol. 180, 1987, pp. 529–556) in order to produce physically reasonable results. In more than one dimension, however, the well-mixed condition is not sufficient to define the dispersion model uniquely. The non-uniqueness, which is related to the rotational degrees of freedom of particle trajectories, permits models with trajectory curvatures and velocity autocorrelation functions which are clearly unphysical. A spin condition is therefore introduced to constrain the models. It requires an ensemble of particles with fixed initial position and velocity to have, at short times, expected angular momentum, measured relative to the mean position and velocity of an ensemble of fluid particles with initially random velocity, equal to the relative angular momentum of the mean flow at the ensemble mean location. The resulting unique model is found explicitly for the canonical example of inhomogeneous Gaussian turbulence and is characterised by accelerations which are exponential in the particle velocity. A simpler unique model with a quadratic acceleration is obtained using a weaker version of the spin condition. Unlike previous models, the unique models defined by the spin condition lead to particles having the correct (ensemble mean) angular speed in a turbulent flow in solid-body rotation. The properties of the new models are discussed in the settings of a turbulent channel flow and an idealised turbulent atmospheric boundary-layer flow.


2012 ◽  
Vol 221 ◽  
pp. 105-113 ◽  
Author(s):  
Michael Rybalko ◽  
Eric Loth ◽  
Dennis Lankford

1991 ◽  
Vol 224 ◽  
pp. 485-505 ◽  
Author(s):  
J. P. Lynov ◽  
A. H. Nielsen ◽  
H. L. Pécseli ◽  
J. Juul Rasmussen

Two-dimensional, incompressible flows are discussed by a generalization of the line-vortex model. A large number of structures are randomly distributed initially. Each individual structure is convected by the superposed flow field of all the others. The statistical properties of the resulting space–time varying random flow are studied. Analytical expressions for both Eulerian and Lagrangian correlation functions are obtained for the limit where the density of structures is large. The analytical results compare favourably with numerical simulations. The study serves as a special test on proposed relations between Eulerian and Lagrangian averages which can be generally valid, i.e. also for three-dimensional, turbulent flows.


1997 ◽  
Vol 28 (4-6) ◽  
pp. 277-288
Author(s):  
Leonid I. Zaichik ◽  
Bulat I. Nigmatulin ◽  
Vladimir M. Alipchenkov ◽  
V. A. Belov

Sign in / Sign up

Export Citation Format

Share Document