5,330 research outputs found
Hydrodynamics of inelastic Maxwell models
An overview of recent results pertaining to the hydrodynamic description
(both Newtonian and non-Newtonian) of granular gases described by the Boltzmann
equation for inelastic Maxwell models is presented. The use of this
mathematical model allows us to get exact results for different problems.
First, the Navier--Stokes constitutive equations with explicit expressions for
the corresponding transport coefficients are derived by applying the
Chapman--Enskog method to inelastic gases. Second, the non-Newtonian
rheological properties in the uniform shear flow (USF) are obtained in the
steady state as well as in the transient unsteady regime. Next, an exact
solution for a special class of Couette flows characterized by a uniform heat
flux is worked out. This solution shares the same rheological properties as the
USF and, additionally, two generalized transport coefficients associated with
the heat flux vector can be identified. Finally, the problem of small spatial
perturbations of the USF is analyzed with a Chapman--Enskog-like method and
generalized (tensorial) transport coefficients are obtained.Comment: 40 pages, 10 figures; v2: final version published in a special issue
  devoted to "Granular hydrodynamics
Unified Gas-kinetic Wave-Particle Methods II: Multiscale Simulation on Unstructured Mesh
In this paper, we present a unified gas-kinetic wave-particle (UGKWP) method
on unstructured mesh for multiscale simulation of continuum and rarefied flow.
Inheriting from the multicale transport in the unified gas-kinetic scheme
(UGKS), the integral solution of kinetic model equation is employed in the
construction of UGKWP method to model the flow physics in the cell size and
time step scales. A novel wave-particle adaptive formulation is introduced in
the UGKWP method to describe the flow dynamics in each control volume. The
local gas evolution is constructed through the dynamical interaction of the
deterministic hydrodynamic wave and the stochastic kinetic particle. Within the
resolution of cell size and time step, the decomposition, interaction, and
evolution of the hydrodynamic wave and the kinetic particle depend on the ratio
of the time step to the local particle collision time. In the rarefied flow
regime, the flow physics is mainly recovered by the discrete particles and the
UGKWP method performs as a stochastic particle method. In the continuum flow
regime, the flow behavior is solely followed by macroscopic variable evolution
and the UGKWP method becomes a gas-kinetic hydrodynamic flow solver for the
viscous and heat-conducting Navier--Stokes solutions. In different flow
regimes, many numerical test cases are computed to validate the UGKWP method on
unstructured mesh. The UGKWP method can get the same UGKS solutions in all
Knudsen regimes without the requirement of the time step and mesh size being
less than than the particle collision time and mean free path. With an
automatic wave-particle decomposition, the UGKWP method becomes very efficient.
For example, at Mach number 30 and Knudsen number 0.1, in comparison with UGKS
several-order-of-magnitude reductions in computational cost and memory
requirement have been achieved by UGKWP
A Multiscale Kinetic-Fluid Solver with Dynamic Localization of Kinetic Effects
This paper collects the efforts done in our previous works [P. Degond, S.
Jin, L. Mieussens, A Smooth Transition Between Kinetic and Hydrodynamic
Equations, J. Comp. Phys., 209 (2005) 665--694.],[P.Degond, G. Dimarco, L.
Mieussens, A Moving Interface Method for Dynamic Kinetic-fluid Coupling, J.
Comp. Phys., Vol. 227, pp. 1176-1208, (2007).],[P. Degond, J.G. Liu, L.
Mieussens, Macroscopic Fluid Model with Localized Kinetic Upscaling Effects,
SIAM Multi. Model. Sim. 5(3), 940--979 (2006)] to build a robust multiscale
kinetic-fluid solver. Our scope is to efficiently solve fluid dynamic problems
which present non equilibrium localized regions that can move, merge, appear or
disappear in time. The main ingredients of the present work are the followings
ones: a fluid model is solved in the whole domain together with a localized
kinetic upscaling term that corrects the fluid model wherever it is necessary;
this multiscale description of the flow is obtained by using a micro-macro
decomposition of the distribution function [P. Degond, J.G. Liu, L. Mieussens,
Macroscopic Fluid Model with Localized Kinetic Upscaling Effects, SIAM Multi.
Model. Sim. 5(3), 940--979 (2006)]; the dynamic transition between fluid and
kinetic descriptions is obtained by using a time and space dependent transition
function; to efficiently define the breakdown conditions of fluid models we
propose a new criterion based on the distribution function itself. Several
numerical examples are presented to validate the method and measure its
computational efficiency.Comment: 34 page
Aging to non-Newtonian hydrodynamics in a granular gas
The evolution to the steady state of a granular gas subject to simple shear
flow is analyzed by means of computer simulations. It is found that, regardless
of its initial preparation, the system reaches (after a transient period
lasting a few collisions per particle) a non-Newtonian (unsteady) hydrodynamic
regime, even at strong dissipation and for states where the time scale
associated with inelastic cooling is shorter than the one associated with the
irreversible fluxes. Comparison with a simplified rheological model shows a
good agreement.Comment: 6 pages, 4 figures; v2: improved version to be published in EP
Fluid Simulations with Localized Boltzmann Upscaling by Direct Simulation Monte-Carlo
In the present work, we present a novel numerical algorithm to couple the
Direct Simulation Monte Carlo method (DSMC) for the solution of the Boltzmann
equation with a finite volume like method for the solution of the Euler
equations. Recently we presented in [14],[16],[17] different methodologies
which permit to solve fluid dynamics problems with localized regions of
departure from thermodynamical equilibrium. The methods rely on the
introduction of buffer zones which realize a smooth transition between the
kinetic and the fluid regions. In this paper we extend the idea of buffer zones
and dynamic coupling to the case of the Monte Carlo methods. To facilitate the
coupling and avoid the onset of spurious oscillations in the fluid regions
which are consequences of the coupling with a stochastic numerical scheme, we
use a new technique which permits to reduce the variance of the particle
methods [11]. In addition, the use of this method permits to obtain estimations
of the breakdowns of the fluid models less affected by fluctuations and
consequently to reduce the kinetic regions and optimize the coupling. In the
last part of the paper several numerical examples are presented to validate the
method and measure its computational performances
Rheological properties for inelastic Maxwell mixtures under shear flow
The Boltzmann equation for inelastic Maxwell models is considered to
determine the rheological properties in a granular binary mixture in the simple
shear flow state. The transport coefficients (shear viscosity and viscometric
functions) are {\em exactly} evaluated in terms of the coefficients of
restitution, the (reduced) shear rate and the parameters of the mixture
(particle masses, diameters and concentration). The results show that in
general, for a given value of the coefficients of restitution, the above
transport properties decrease with increasing shear rate
A Unified Gas-kinetic Scheme for Continuum and Rarefied Flows IV: full Boltzmann and Model Equations
Fluid dynamic equations are valid in their respective modeling scales. With a
variation of the modeling scales, theoretically there should have a continuous
spectrum of fluid dynamic equations. In order to study multiscale flow
evolution efficiently, the dynamics in the computational fluid has to be
changed with the scales. A direct modeling of flow physics with a changeable
scale may become an appropriate approach. The unified gas-kinetic scheme (UGKS)
is a direct modeling method in the mesh size scale, and its underlying flow
physics depends on the resolution of the cell size relative to the particle
mean free path. The cell size of UGKS is not limited by the particle mean free
path. With the variation of the ratio between the numerical cell size and local
particle mean free path, the UGKS recovers the flow dynamics from the particle
transport and collision in the kinetic scale to the wave propagation in the
hydrodynamic scale.
  The previous UGKS is mostly constructed from the evolution solution of
kinetic model equations. This work is about the further development of the UGKS
with the implementation of the full Boltzmann collision term in the region
where it is needed. The central ingredient of the UGKS is the coupled treatment
of particle transport and collision in the flux evaluation across a cell
interface, where a continuous flow dynamics from kinetic to hydrodynamic scales
is modeled. The newly developed UGKS has the asymptotic preserving (AP)
property of recovering the NS solutions in the continuum flow regime, and the
full Boltzmann solution in the rarefied regime. In the mostly unexplored
transition regime, the UGKS itself provides a valuable tool for the flow study
in this regime. The mathematical properties of the scheme, such as stability,
accuracy, and the asymptotic preserving, will be analyzed in this paper as
well
Navier-Stokes transport coefficients for driven inelastic Maxwell models
We calculate in this work the Navier-Stokes transport coefficients from the
Boltzmann equation for -dimensional inelastic Maxwell models. By granular
gas we mean here a low density system of identical spheres that lose a fraction
of their kinetic energy after collisions. In the present work, the granular gas
is fluidized by the presence of a thermostat that aides the system to reach a
steady state. The thermostat is composed by two terms: a random force and a
drag force. The combined action of both forces, that act homogeneously on the
granular gas, tries to mimic the interaction of the set of particles with a
surrounding fluid. The Chapman-Enskog method is applied to solve the inelastic
Boltzmann equation to first order in the deviations of the hydrodynamic fields
from their values in the homogeneous steady state. Since the collisional
cooling cannot be compensated locally for by the heat produced by the driving
forces, the reference (zeroth-order) distribution function  depends on
time through its dependence on the granular temperature. To simplify the
analysis and obtain explicit forms for the transport coefficients, the steady
state conditions are considered. A comparison with previous results obtained
for inelastic hard spheres is also carried out.Comment: 19 pages, 6 figures, to be published in J. Stat. Mec
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