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Precise FEM solution of a corner singularity using an adjusted mesh

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TLDR
In this article, the authors present an alternative approach for flow problems on domains with corner singularities, using the a priori error estimates and asymptotic expansion of the solution to derive an algorithm for refining the mesh near the corner.
Abstract
Within the framework of the finite element method problems with corner-like singularities (e.g. on the well-known L-shaped domain) are most often solved by the adaptive strategy: the mesh near the corners is refined according to the a posteriori error estimates. In this paper we present an alternative approach. For flow problems on domains with corner singularities we use the a priori error estimates and asymptotic expansion of the solution to derive an algorithm for refining the mesh near the corner. It gives very precise solution in a cheap way. We present some numerical results. Copyright © 2005 John Wiley & Sons, Ltd.

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Journal ArticleDOI

Weighted finite element method for the Stokes problem with corner singularity

TL;DR: The weighted analogue of the Ladyzhenskaya–Babuska–Brezzi condition is proved and a new weighted finite element method is constructed that shows the efficiency of the method.
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An Asymptotic Fitting Finite Element Method with Exponential Mesh Refinement for Accurate Computation of Corner Eddies in Viscous Flows

TL;DR: The results of computations of the lid-driven cavity problem show that the proposed method computes the central eddy with accuracy comparable to the best of existing methods and is more accurate for computing the corner eddies than the existing methods.
Journal ArticleDOI

On a modification of GLS stabilized FEM for solving incompressible viscous flows

TL;DR: In this article, the Galerkin Least Squares technique of stabilization of the finite element method is studied and its modification is described, and a number of numerical results obtained by the developed method, showing its contribution to solving flows with high Reynolds numbers.
Journal ArticleDOI

Discontinuous Galerkin methods using poly-sinc approximation

TL;DR: It is demonstrated that, using poly-Sinc-based discontinuous Galerkin approximation, Sinc partitions outperforms those with equidistant and Chebyshev partitions as the authors near the singularity, and it is shown that the approximation error between a smooth function and its poly- Sinc approximation over the global partition has a convergence rate of exponential order.
Journal ArticleDOI

Convergence rate estimation of poly-Sinc-based discontinuous Galerkin methods

TL;DR: This paper extends work on poly-Sinc-based discontinuous Galerkin approximation, in which the function values at the interpolation points are replaced by unknown coefficients and solved by the discontinuousGalerkin method, to deal with functions having a singularity at an endpoint.
References
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Book

Finite Element Methods for Navier-Stokes Equations: Theory and Algorithms

TL;DR: This paper presents the results of an analysis of the "Stream Function-Vorticity-Pressure" Method for the Stokes Problem in Two Dimensions and its applications to Mixed Approximation and Homogeneous Stokes Equations.
Journal ArticleDOI

A posteriori error estimates applied to flow in a channel with corners

TL;DR: A posteriori error estimates for the Stokes and Navier-Stokes equations on two-dimensional polygonal domains are investigated and an incompressible flow problem in a domain with corners that cause singularities in the solution is solved.
Related Papers (5)
Frequently Asked Questions (1)
Q1. What are the contributions in "Precise fem solution of corner singularity using adjusted mesh applied to 2d flow" ?

The authors present an alternative approach to the adaptive mesh refinement. For steady Navier-Stokes equations the authors proved in [ 1 ] that for nonconvex internal angles the velocities near the corners possess an expansion u ( ρ, θ ) = ρφ ( θ ) +... ( + smoother terms ), where ρ, θ are local spherical coordinates. The authors show an example of 2D mesh with quadratic polynomials for velocity.