SPH truncation error in estimating a 3D function
The SPH truncation error ( ε T ) can be defined as the sum of the integral kernel and the particle approximation error in Smoothed Particle Hydrodynamics modelling. Following the procedure proposed by Quinlan et al. [16] for a 1D generic derivative, we have derived an approximated 3D formulation of...
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Veröffentlicht in: | Computers & fluids 2011-05, Vol.44 (1), p.279-296 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The SPH truncation error (
ε
T
) can be defined as the sum of the integral kernel and the particle approximation error in Smoothed Particle Hydrodynamics modelling. Following the procedure proposed by Quinlan et al.
[16] for a 1D generic derivative, we have derived an approximated 3D formulation of
ε
T
in reproducing a generic function. This kind of estimation is implemented in some SPH models in order to reproduce density or some transported scalars. Then a corresponding sensitivity analysis of
ε
T
has been performed adopting regular and irregular distributions of particles, arranged within a cube, delimited by lateral walls at each side. The evolution of
ε
T
has been analyzed and compared to the proposed formulation, which has been numerically estimated under some simple conditions. The SPH truncation error has then been investigated on a simple free surface test case: a supercritical flow over a channel sill. We have developed some conclusions about the dependence of
ε
T
on the position of the particles (inner or boundary), the shape of the function to be reproduced (
f), the kernel support size (
h), the particle volumes (
ω), the kernel function (
W), a non-dimensional distance between the volume barycentre and the particle location (
δ
), and a geometric anisotropy index of the particle volumes (
I
). We have finally underlined the difference between non-consistent simulations and estimations using Shepard’s correction. |
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ISSN: | 0045-7930 1879-0747 |
DOI: | 10.1016/j.compfluid.2011.01.018 |