2017
DOI: 10.1063/1.4997682
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A critical analysis of some popular methods for the discretisation of the gradient operator in finite volume methods

Abstract: Finite volume methods (FVMs) constitute a popular class of methods for the numerical simulation of fluid flows. Among the various components of these methods, the discretisation of the gradient operator has received less attention despite its fundamental importance with regards to the accuracy of the FVM. The most popular gradient schemes are the divergence theorem (DT) (or Green-Gauss) scheme, and the least-squares (LS) scheme. Both are widely believed to be secondorder accurate, but the present study shows t… Show more

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Cited by 76 publications
(120 citation statements)
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“…In OpenFOAM R solvers, the face center pressure values q j are typically obtained from the cell center values by means of a linear interpolation scheme. Such scheme is rigorously secondorder accurate only on structured meshes [46].…”
Section: Numerical Discretization For the Evolve Step Of The Problemmentioning
confidence: 99%
“…In OpenFOAM R solvers, the face center pressure values q j are typically obtained from the cell center values by means of a linear interpolation scheme. Such scheme is rigorously secondorder accurate only on structured meshes [46].…”
Section: Numerical Discretization For the Evolve Step Of The Problemmentioning
confidence: 99%
“…Concerning the discretisation of the momentum and continuity equations, we used the same method as in our previous work [22], which employs central differencing with least-squares gradients [54] in space and (Table 4) near a piston corner. a three time level implicit scheme in time, which are second-order accurate.…”
Section: Methodsmentioning
confidence: 99%
“…Nevertheless, firstorder accurate gradients suffice for second-order accuracy of the differentiated variables, i.e. are compatible with second-order accurate FVMs [44].…”
Section: Preliminary Considerationsmentioning
confidence: 99%
“…The other components of these diffusion terms are discretised in exactly the same way for both of them and cancel out, leaving only D τ + f and D τ − f . Since both of these diffusion terms are discretised by central differences they contribute O(1) to the truncation error [44] but O(h 2 ) to the discretisation error. In particular, consider that Eq.…”
Section: Discretisation Of the Momentum Equationmentioning
confidence: 99%
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