A Spectral Element Reduced Basis Method in Parametric CFD

We consider the Navier-Stokes equations in a channel with varying Reynolds numbers. The model is discretized with high-order spectral element ansatz functions, resulting in 14 259 degrees of freedom. The steady-state snapshot solu- tions define a reduced order space, which allows to accurately evaluate the steady- state solutions for varying Reynolds number with a reduced order model within a fixed-point iteration. In particular, we compare different aspects of implementing the reduced order model with respect to the use of a spectral element discretization. It is shown, how a multilevel static condensation [1] in the pressure and velocity boundary degrees of freedom can be combined with a reduced order modelling approach to enhance computational times in parametric many-query scenarios.

[1]  Claudio Canuto,et al.  Spectral Methods: Evolution to Complex Geometries and Applications to Fluid Dynamics (Scientific Computation) , 2007 .

[2]  H. H. Fernholz,et al.  Report on the first European Mechanics Colloquium, on the Coanda effect , 1965, Journal of Fluid Mechanics.

[3]  Yvon Maday,et al.  A Reduced Basis Technique for Long-Time Unsteady Turbulent Flows , 2017, 1710.03569.

[4]  A. Quarteroni,et al.  Numerical Approximation of Partial Differential Equations , 2008 .

[5]  Yvon Maday,et al.  A reduced-basis element method , 2002 .

[6]  Annalisa Quaini,et al.  Computational reduction strategies for the detection of steady bifurcations in incompressible fluid-dynamics: Applications to Coanda effect in cardiology , 2017, J. Comput. Phys..

[7]  Yvon Maday,et al.  RB (Reduced basis) for RB (Rayleigh–Bénard) , 2013 .

[8]  G. Karniadakis,et al.  Spectral/hp Element Methods for Computational Fluid Dynamics , 2005 .

[9]  Robert Michael Kirby,et al.  Nektar++: An open-source spectral/hp element framework , 2015, Comput. Phys. Commun..

[10]  M. Fortin,et al.  Mixed Finite Element Methods and Applications , 2013 .

[11]  T. A. Zang,et al.  Spectral Methods: Fundamentals in Single Domains , 2010 .

[12]  Gianluigi Rozza,et al.  On the Application of Reduced Basis Methods to Bifurcation Problems in Incompressible Fluid Dynamics , 2017, J. Sci. Comput..

[13]  Sören Bartels,et al.  Numerical Approximation of Partial Differential Equations , 2016 .

[14]  Yvon Maday,et al.  A reduced basis element method for the steady stokes problem , 2006 .

[15]  A. Patera A spectral element method for fluid dynamics: Laminar flow in a channel expansion , 1984 .

[16]  Gianluigi Rozza,et al.  Model Order Reduction in Fluid Dynamics: Challenges and Perspectives , 2014 .

[17]  J. Hesthaven,et al.  Certified Reduced Basis Methods for Parametrized Partial Differential Equations , 2015 .

[18]  Martin Burger,et al.  Numerical Methods for Incompressible Flow , 2004 .