2016
DOI: 10.5539/jmr.v8n6p1
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Augmented Stabilized and Galerkin Least Squares Formulations

Abstract: We study incompressible fluid flow problems with stabilized formulations. We introduce an iterative penalty approach to satisfying the divergence free constraint in the Streamline Upwind Petrov Galerkin (SUPG) and Galerkin Least Squares (GLS) formulations, and prove the stability of the formulation. Equal order interpolations for both velocities and pressure variables are utilized for solving problems as opposed to div-stable pairs used earlier. Higher order spectral/hp approximations are utilized for solving … Show more

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Cited by 5 publications
(2 citation statements)
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References 33 publications
(48 reference statements)
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“…One of them is the Galerkin Least Squares (GLS) stabilization method. GLS is a general stabilization method applicable to a wide range of problems 35 – 39 . Its theoretical basis is that the test function should be chosen so as to minimize the squared residual of the equations.…”
Section: Two-fluid Turbulence Modelmentioning
confidence: 99%
“…One of them is the Galerkin Least Squares (GLS) stabilization method. GLS is a general stabilization method applicable to a wide range of problems 35 – 39 . Its theoretical basis is that the test function should be chosen so as to minimize the squared residual of the equations.…”
Section: Two-fluid Turbulence Modelmentioning
confidence: 99%
“…Finite element methods, in general, (1) are more amenable to complex discretizations and unstructured meshes, (2) do not require an interstencil construction of high-order approximations, (3) are not locally lower order near the limiters as are high-order finite volume schemes, and (4) have well-defined boundary conditions, not dependent on local metrics to transform the fluxes on the provided faces in a high-order context. Augmentation of incompressible flow formulation ASUPG and AGLS was first presented in a technical report by Ranjan [6] and formally in a paper by Ranjan et al [7,8]. If one were to compare finite volume, spectral element methods, and finite element-based schemes, the coarse element counts that finite volume methods require provide a high competitive edge versus extensive refinements are required by low-order finite element methods.…”
Section: Introductionmentioning
confidence: 99%