Data di Pubblicazione:
2015
Abstract:
An algorithm to improve the numerical evaluation of derivatives of a field function in Smoothed Particle
Hydrodynamics is proposed. The algorithm is based on the solution, at each particle location, of a linear
system whose unknowns are the first three derivatives of the desired function; the coefficients of the linear
system are obtained from various possible particle approximations of the Taylor series expansion of
the function. The method proves to be 2nd-order consistent for the 1st derivatives and 1st-order consistent
for the 2nd derivatives, both inside the domain and close to the boundaries, and it is not affected by
an irregular particle distribution. A numerical test performed on the SPH solution of the viscous Burgers
equation proves that the method can be validly applied to the simulation of convection–diffusion
problems.
Hydrodynamics is proposed. The algorithm is based on the solution, at each particle location, of a linear
system whose unknowns are the first three derivatives of the desired function; the coefficients of the linear
system are obtained from various possible particle approximations of the Taylor series expansion of
the function. The method proves to be 2nd-order consistent for the 1st derivatives and 1st-order consistent
for the 2nd derivatives, both inside the domain and close to the boundaries, and it is not affected by
an irregular particle distribution. A numerical test performed on the SPH solution of the viscous Burgers
equation proves that the method can be validly applied to the simulation of convection–diffusion
problems.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Consistency restoration; Lagrangian methods; Meshless methods; Smoothed Particle Hydrodynamics (SPH); Computer Science (all); Engineering (all)
Elenco autori:
Sibilla, Stefano
Link alla scheda completa:
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