A taylor weak‐statement algorithm for hyperbolic conservation laws
Allen J. Baker, J. W. Kim
Abstract
Allen J. Baker, J. W. Kim
Abstract
Abstract Finite element analysis, applied to computational fluid dynamics (CFD) problem classes, presents a formal procedure for establishing the ingredients of a discrete approximation numerical solution algorithm. A classical Galerkin weak‐statement formulation, formed on a Taylor series extension of the conservation law system, is developed herein that embeds a set of parameters eligible for constraint according to specification of suitable norms. The derived family of Taylor weak statements is shown to contain, as special cases, over one dozen independently derived CFD algorithms published over the past several decades for the high speed flow problem class. A theoretical analysis is completed that facilitates direct qualitative comparisons. Numerical results for definitive linear and non‐linear test problems permit direct quantitative performance comparisons.
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Abstract Finite element analysis, applied to computational fluid dynamics (CFD) problem classes, presents a formal procedure for establishing the ingredients of a discrete approximation numerical solution algorithm. A classical Galerkin weak‐statement formulation, formed on a Taylor series extension of the conservation law system, is developed herein that embeds a set of parameters eligible for constraint according to specification of suitable norms. The derived family of Taylor weak statements is shown to contain, as special cases, over one dozen independently derived CFD algorithms published over the past several decades for the high speed flow problem class. A theoretical analysis is completed that facilitates direct qualitative comparisons. Numerical results for definitive linear and non‐linear test problems permit direct quantitative performance comparisons.
Key concepts: Conservation law, Statement (logic), Computational fluid dynamics, Taylor series, Mathematics, Finite element method, Applied mathematics, Constraint (computer-aided design)