Numerical and convergence analysis of the stochastic Lagrangian averaged Navier-Stokes equations

10/29/2021
by   Jad Doghman, et al.
0

The primary emphasis of this work is the development of a finite element based space-time discretization for solving the stochastic Lagrangian averaged Navier-Stokes (LANS-α) equations of incompressible fluid turbulence with multiplicative random forcing, under nonperiodic boundary conditions within a bounded polygonal (or polyhedral) domain of R^d , d ∈ 2, 3. The convergence analysis of a fully discretized numerical scheme is investigated and split into two cases according to the spacial scale α, namely we first assume α to be controlled by the step size of the space discretization so that it vanishes when passing to the limit, then we provide an alternative study when α is fixed. A preparatory analysis of uniform estimates in both α and discretization parameters is carried out. Starting out from the stochastic LANS-α model, we achieve convergence toward the continuous strong solutions of the stochastic Navier-Stokes equations in 2D when α vanishes at the limit. Additionally, convergence toward the continuous strong solutions of the stochastic LANS-α model is accomplished if α is fixed.

READ FULL TEXT

page 28

page 29

research
04/29/2022

Numerical approximation of the stochastic Navier-Stokes equations through artificial compressibility

A constructive numerical approximation of the two-dimensional unsteady s...
research
10/12/2021

Numerical analysis of 2D Navier–Stokes equations with additive stochastic forcing

We propose and study a temporal, and spatio-temporal discretisation of t...
research
03/25/2023

Weighted reduced order methods for uncertainty quantification in computational fluid dynamics

In this manuscript we propose and analyze weighted reduced order methods...

Please sign up or login with your details

Forgot password? Click here to reset