A reduced order variational multiscale approach for turbulent flows
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Gianluigi Rozza | Giovanni Stabile | Francesco Ballarin | Giacomo Zuccarino | G. Rozza | F. Ballarin | G. Stabile | G. Zuccarino
[1] Traian Iliescu,et al. Proper orthogonal decomposition closure models for turbulent flows: A numerical comparison , 2011, 1106.3585.
[2] Karen Veroy,et al. Certified Reduced Basis Methods for Parametrized Saddle Point Problems , 2012, SIAM J. Sci. Comput..
[3] Gianluigi Rozza,et al. RBniCS - reduced order modelling in FEniCS , 2015 .
[4] Charbel Farhat,et al. The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows , 2012, J. Comput. Phys..
[5] Luca Dedè,et al. Semi-implicit BDF time discretization of the Navier–Stokes equations with VMS-LES modeling in a High Performance Computing framework , 2015 .
[6] Yvon Maday,et al. A Reduced Basis Technique for Long-Time Unsteady Turbulent Flows , 2017, 1710.03569.
[7] A. Quarteroni,et al. Numerical Approximation of Partial Differential Equations , 2008 .
[8] Traian Iliescu,et al. A numerical investigation of velocity-pressure reduced order models for incompressible flows , 2014, J. Comput. Phys..
[9] G. Rozza,et al. Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier–Stokes equations , 2017, Computers & Fluids.
[10] Thomas J. R. Hughes,et al. Multiscale and Stabilized Methods , 2007 .
[11] G. Rozza,et al. POD-Galerkin method for finite volume approximation of Navier–Stokes and RANS equations , 2016 .
[12] N. Nguyen,et al. An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations , 2004 .
[13] Janet S. Peterson,et al. The Reduced Basis Method for Incompressible Viscous Flow Calculations , 1989 .
[14] S. Ravindran,et al. A Reduced-Order Method for Simulation and Control of Fluid Flows , 1998 .
[15] Gianluigi Rozza,et al. Projection-based reduced order models for a cut finite element method in parametrized domains , 2019, Comput. Math. Appl..
[16] Gianluigi Rozza,et al. On a Certified Smagorinsky Reduced Basis Turbulence Model , 2017, SIAM J. Numer. Anal..
[17] T. Hughes,et al. Variational multiscale residual-based turbulence modeling for large eddy simulation of incompressible flows , 2007 .
[18] Gianluigi Rozza,et al. Model Order Reduction: a survey , 2016 .
[19] M. Fortin,et al. Mixed Finite Element Methods and Applications , 2013 .
[20] Ali H. Nayfeh,et al. On the stability and extension of reduced-order Galerkin models in incompressible flows , 2009 .
[21] Gianluigi Rozza,et al. The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: From Laminar to Turbulent Flows , 2018, Lecture Notes in Computational Science and Engineering.
[22] Gianluigi Rozza,et al. Model Reduction of Parametrized Systems , 2017 .
[23] J. Hesthaven,et al. Certified Reduced Basis Methods for Parametrized Partial Differential Equations , 2015 .
[24] G. Karniadakis,et al. Stability and accuracy of periodic flow solutions obtained by a POD-penalty method , 2005 .
[25] G. Rozza,et al. A Reduced Order Approach for the Embedded Shifted Boundary FEM and a Heat Exchange System on Parametrized Geometries , 2018, IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22–25, 2018.
[26] Gianluigi Rozza,et al. Model Order Reduction: a survey , 2016 .
[27] Zhu Wang,et al. Variational multiscale proper orthogonal decomposition: Convection-dominated convection-diffusion-reaction equations , 2013, Math. Comput..
[28] Jean-Antoine Désidéri,et al. Stability Properties of POD–Galerkin Approximations for the Compressible Navier–Stokes Equations , 2000 .
[29] Macarena Gómez Mármol,et al. Numerical analysis of a finite element projection-based VMS turbulence model with wall laws , 2015 .
[30] Traian Iliescu,et al. Variational multiscale proper orthogonal decomposition: Navier‐stokes equations , 2012, 1210.7389.
[31] Anders Logg,et al. Automated Solution of Differential Equations by the Finite Element Method: The FEniCS Book , 2012 .
[32] Thomas J. R. Hughes,et al. A space-time formulation for multiscale phenomena , 1996 .
[33] G. Rozza,et al. POD-Galerkin reduced order methods for CFD using Finite Volume Discretisation: vortex shedding around a circular cylinder , 2017, 1701.03424.
[34] T. Hughes. Multiscale phenomena: Green's functions, the Dirichlet-to-Neumann formulation, subgrid scale models, bubbles and the origins of stabilized methods , 1995 .
[35] K. Willcox. Unsteady Flow Sensing and Estimation via the Gappy Proper Orthogonal Decomposition , 2004 .
[36] M. Kronbichler,et al. An algebraic variational multiscale-multigrid method for large eddy simulation of turbulent flow , 2010 .
[37] Gianluigi Rozza,et al. A reduced basis approach for PDEs on parametrized geometries based on the shifted boundary finite element method and application to a Stokes flow , 2018, Computer Methods in Applied Mechanics and Engineering.
[38] Bernhard Wieland,et al. Reduced basis methods for partial differential equations with stochastic influences , 2013 .
[39] Charles-Henri Bruneau,et al. Enablers for robust POD models , 2009, J. Comput. Phys..
[40] Guglielmo Scovazzi,et al. A heterogeneous multiscale modeling framework for hierarchical systems of partial differential equations , 2011 .
[41] Yvonne Jaeger,et al. Turbulence: An Introduction for Scientists and Engineers , 2015 .
[42] T. Hughes,et al. The variational multiscale method—a paradigm for computational mechanics , 1998 .
[43] P. Saugat. Large eddy simulation for incompressible flows , 2001 .
[44] B. R. Noack,et al. A low‐dimensional Galerkin method for the three‐dimensional flow around a circular cylinder , 1994 .
[45] F. Brezzi,et al. A relationship between stabilized finite element methods and the Galerkin method with bubble functions , 1992 .
[46] G. Rozza,et al. On the stability of the reduced basis method for Stokes equations in parametrized domains , 2007 .
[47] A. Quarteroni,et al. Reduced Basis Methods for Partial Differential Equations: An Introduction , 2015 .
[48] G. Rozza,et al. Stabilized reduced basis method for parametrized advection-diffusion PDEs , 2014 .
[49] Gianluigi Rozza,et al. Supremizer stabilization of POD–Galerkin approximation of parametrized steady incompressible Navier–Stokes equations , 2015 .
[50] Gianluigi Rozza,et al. Data-Driven POD-Galerkin Reduced Order Model for Turbulent Flows , 2019, J. Comput. Phys..
[51] I. Kevrekidis,et al. Low‐dimensional models for complex geometry flows: Application to grooved channels and circular cylinders , 1991 .
[52] Traian Iliescu,et al. SUPG reduced order models for convection-dominated convection–diffusion–reaction equations , 2014 .
[53] Stéphane Lanteri,et al. APPROXIMATION OF COMPRESSIBLE FLOWS BY A REDUCED ORDER MODEL , 1998 .
[54] Gianluigi Rozza,et al. Stabilized reduced basis methods for parametrized steady Stokes and Navier-Stokes equations , 2020, Comput. Math. Appl..