2006
DOI: 10.1016/j.jcp.2005.10.033
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Spectral/hp penalty least-squares finite element formulation for the steady incompressible Navier–Stokes equations

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Cited by 40 publications
(23 citation statements)
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“…Consequently, most finite element models of the Navier-Stokes equations based on the weak-form Galerkin procedure do not guarantee the minimization of the error in the solution or in the differential equation. Least-squares finite element models offers an appealing alternative to the commonly used weak-form Galerkin procedure for fluids and have received substantial attention in the academic literature in recent years (see, for example, [21,22,24,31,33,28,27,36,37,35,30]). The least-squares formulation allows for the construction of finite element models for fluids that, when combined with high-order finite element technology [22,4,5,38,17,29,31,31,49] possess many of the attractive qualities associated with the well-known Ritz method [43] such as global minimization, best approximation with respect to a well-defined norm, and symmetric positive-definiteness of the resulting finite element coefficient matrix [9].…”
mentioning
confidence: 99%
“…Consequently, most finite element models of the Navier-Stokes equations based on the weak-form Galerkin procedure do not guarantee the minimization of the error in the solution or in the differential equation. Least-squares finite element models offers an appealing alternative to the commonly used weak-form Galerkin procedure for fluids and have received substantial attention in the academic literature in recent years (see, for example, [21,22,24,31,33,28,27,36,37,35,30]). The least-squares formulation allows for the construction of finite element models for fluids that, when combined with high-order finite element technology [22,4,5,38,17,29,31,31,49] possess many of the attractive qualities associated with the well-known Ritz method [43] such as global minimization, best approximation with respect to a well-defined norm, and symmetric positive-definiteness of the resulting finite element coefficient matrix [9].…”
mentioning
confidence: 99%
“…The Type 4 Benchmark Example given in Section 3.1.1, the driven-cavity problem, demonstrates some of the difficulties encountered with solutions containing singularities. Prabhakar and Reddy [83]) eliminated the two singularities in the moving-lid corners by replacing the fixed speed of the moving lid with a speed that varies spatially near each of the corners. They clearly state that had they not removed the singularities, their numerical procedure would not have converged.…”
Section: Accuracy Assessment Issues For Type 4 Benchmark (Pde Numericmentioning
confidence: 99%
“…The seventh-order nodal expansion is used in each element, and there are a total of 39 204 degrees of freedom in the mesh. All internal degrees of freedom are condensed out using Schur complement method (see [6] for details), resulting in 10 980 interface degrees of freedom with a bandwidth of 788. The preconditioned conjugate gradient is used to solve for the interface degrees of freedom.…”
Section: Two-dimensional Lid-driven Cavity Flowmentioning
confidence: 99%