2014
DOI: 10.1016/j.compfluid.2014.01.011
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Hybridizable Discontinuous Galerkin with degree adaptivity for the incompressible Navier–Stokes equations

Abstract: A degree adaptive Hybridizable Discontinuous Galerkin (HDG) method for the solution of the incompressible Navier-Stokes equations is presented. The key ingredient is an accurate and computationally inexpensive a posteriori error estimator based on the super-convergence properties of HDG. The error estimator drives the local modification of approximation degree in the elements and faces of the mesh, aimed at obtaining a uniform error distribution below a user-given tolerance in a given are of interest. Three 2D… Show more

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Cited by 58 publications
(80 citation statements)
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“…Note that these Neumann boundary conditions do not correspond to regular stresses but to pseudo-stresses, as it is standard in velocity-pressure formulation, see [4]. However, more physical stress boundary conditions can also be implemented, see [7] for a detailed description.…”
Section: Navier-stokes Over a Broken Domainmentioning
confidence: 96%
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“…Note that these Neumann boundary conditions do not correspond to regular stresses but to pseudo-stresses, as it is standard in velocity-pressure formulation, see [4]. However, more physical stress boundary conditions can also be implemented, see [7] for a detailed description.…”
Section: Navier-stokes Over a Broken Domainmentioning
confidence: 96%
“…A discussion on the choice of the stabilization parameter for a degree-adaptive HDG method applied to the Navier-Stokes equations can be found in [7]. A constant in the whole domain is suggested, with value kuk, where kuk is a characteristic velocity.…”
Section: The Hdg Local Problemmentioning
confidence: 99%
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“…The only variable that can be affected by the splitting is the approximation of the trace along the interface in the case of Neumann boundary conditions, u i in (13). For simplicity, this variable can be approximated using a piecewise k-th order approximation, given by the k + 1 nodes defining the interface parametrization in each cut basic cell.…”
Section: Remarkmentioning
confidence: 99%
“…Therefore, a simple element-by-element postprocess of the derivatives leads to a superconvergent approximation of the primal vari-ables, with convergence of order k + 2inL 2 norm. The superconvergent solution can also be used to compute an efficient error estimator and define an adaptivity procedure [12,13].…”
Section: Introductionmentioning
confidence: 99%