The reduced order NS-αmodel for incompressible flow: theory, numerical analysis and benchmark testing
DOI10.1051/m2an/2014053zbMath1321.76032OpenAlexW2084131185MaRDI QIDQ5254424
Leo G. Rebholz, Argus A. Dunca, Victoria Cuff, Carolina Cardoso Manica
Publication date: 9 June 2015
Published in: ESAIM: Mathematical Modelling and Numerical Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1051/m2an/2014053
Navier-Stokes equations for incompressible viscous fluids (76D05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Direct numerical and large eddy simulation of turbulence (76F65) Finite element methods applied to problems in fluid mechanics (76M10)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On Taylor/Eddy solutions of approximate deconvolution models of turbulence
- Numerical analysis of Leray-Tikhonov deconvolution models of fluid motion
- Approximate deconvolution models of turbulence. Analysis, phenomenology and numerical analysis.
- On the structural stability of the Euler-Voigt and Navier-Stokes-Voigt models
- On the accuracy of the rotation form in simulations of the Navier-Stokes equations
- Existence theory of abstract approximate deconvolution models of turbulence
- Global attractors and determining modes for the 3D Navier-Stokes-Voight equations
- A subgrid-scale deconvolution approach for shock capturing
- An interpretation of the Navier-Stokes-alpha model as a frame-indifferent Leray regularization
- Boundary layer for the Navier-Stokes-alpha model of fluid turbulence
- On the higher-order global regularity of the inviscid Voigt-regularization of three-dimensional hydrodynamic models
- On the stability of the $L^2$ projection in $H^1(\Omega)$
- Enabling numerical accuracy of Navier-Stokes-αthrough deconvolution and enhanced stability
- A study of the Navier–Stokes-α model for two-dimensional turbulence
- A TWO-LEVEL MULTISCALE DECONVOLUTION METHOD FOR THE LARGE EDDY SIMULATION OF TURBULENT FLOWS
- Finite-Element Approximation of the Nonstationary Navier–Stokes Problem. Part IV: Error Analysis for Second-Order Time Discretization
- Direct numerical simulation of turbulent channel flow up to Reτ=590
- An approximate deconvolution procedure for large-eddy simulation
- A connection between the Camassa–Holm equations and turbulent flows in channels and pipes
- A numerical study of the alpha model for two-dimensional magnetohydrodynamic turbulent flows
- An approximate deconvolution model for large-eddy simulation with application to incompressible wall-bounded flows
- The approximate deconvolution model for large-eddy simulations of compressible flows and its application to shock-turbulent-boundary-layer interaction
- ON THE HIGH ACCURACY NS-ALPHA-DECONVOLUTION TURBULENCE MODEL
- Finite Element Methods for Navier-Stokes Equations
- Approximation of time‐dependent, viscoelastic fluid flow: Crank‐Nicolson, finite element approximation
- Reference values for drag and lift of a two‐dimensional time‐dependent flow around a cylinder
- Camassa-Holm Equations as a Closure Model for Turbulent Channel and Pipe Flow
- A new family of stable mixed finite elements for the 3D Stokes equations
- Turbulence statistics in fully developed channel flow at low Reynolds number
- An Augmented Lagrangian‐Based Approach to the Oseen Problem
- Simulations of the turbulent channel flow at Reτ = 180 with projection‐based finite element variational multiscale methods
- Numerical analysis and computational testing of a high accuracy Leray‐deconvolution model of turbulence
- On the Stolz--Adams Deconvolution Model for the Large-Eddy Simulation of Turbulent Flows
- Efficient, Unconditionally Stable, and Optimally Accurate FE Algorithms for Approximate Deconvolution Models
- The Navier-Stokes-alpha model of fluid turbulence
- The three dimensional viscous Camassa-Holm equations, and their relation to the Navier-Stokes equations and turbulence theory
This page was built for publication: The reduced order NS-αmodel for incompressible flow: theory, numerical analysis and benchmark testing