1985
DOI: 10.1016/0021-9991(85)90176-7
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High order accurate vortex methods with explicit velocity kernels

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Cited by 245 publications
(153 citation statements)
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“…Thus ␦ can be seen as the scale beyond which fluctuations are locally averaged, see Soteriou and Ghoniem, 16 Lundgren et al 20 The cutoff functions used in this study have been proposed by Beale and Majda. 21 They rely on Gaussian functions and lead to a second-order accuracy for the velocity field, hereafter referred to as K2, or a fourth-order one, K4:…”
Section: Formulation and Numerical Schemesmentioning
confidence: 99%
“…Thus ␦ can be seen as the scale beyond which fluctuations are locally averaged, see Soteriou and Ghoniem, 16 Lundgren et al 20 The cutoff functions used in this study have been proposed by Beale and Majda. 21 They rely on Gaussian functions and lead to a second-order accuracy for the velocity field, hereafter referred to as K2, or a fourth-order one, K4:…”
Section: Formulation and Numerical Schemesmentioning
confidence: 99%
“…an element that will have no intrinsic spatial scale). Rather, the field of a point dipole (16) is to be desingularized through convolution with a Beale and Majda (1985) fourthorder smoothing kernel…”
Section: "Dipole Creation" In Three Dimensionsmentioning
confidence: 99%
“…The standard thin-tube method 17 is a simplified version of general vortex element method 20 for three-dimensional incompressible flows. In the thin-tube model, a slender vortex is represented by a single chain of overlapping vortex elements.…”
Section: ͑17͒mentioning
confidence: 99%
“…The smoothing function f (x) is chosen so as to enhance accuracy. 20 The velocity at a point x can be obtained by inserting ͑19͒ into ͑5͒ and performing the integration. The result is the following desingularized version of the BiotSavart law:…”
Section: ͑17͒mentioning
confidence: 99%