International audienceWall boundary conditions in smoothed particle hydrodynamics (SPH) is a key issue to perform accurate simulations. We propose here a new approach based on a renormalising factor for writing all boundary terms. This factor depends on the local shape of a wall and on the position of a particle relative to the wall, which is described by segments (in two-dimensions), instead of the cumbersome fictitious or ghost particles used in most existing SPH models. By solving a dynamic equation for the renormalising factor, we significantly improve traditional wall treatment in SPH, for pressure forces, wall friction and turbulent conditions. The new model is demonstrated for cases including hydrostatic conditions for still water in a tank of complex geometry and a dam break over triangular bed profile with sharp angle where significant improved behaviour is obtained in comparison with the conventional boundary techniques. The latter case is also compared with a finite volume and volume-of-fluid scheme. The performance of the model for a two-dimensional laminar flow in a channel is demonstrated where the profiles of velocity are in agreement with the theoretical ones, demonstrating that the derived wall shear stress balances the pressure gradient. Finally, the performance of the model is demonstrated for flow in a schematic fish pass where both the velocity field and turbulent viscosity fields are satisfactorily reproduced compared with mesh-based codes
A channel flow DNS database at Reτ = 590 is used to assess the validity of modelling
the redistribution term in the Reynolds stress transport equations by elliptic relaxation.
The model assumptions are found to be globally consistent with the data. However, the
correlation function between the fluctuating velocity and the Laplacian of the pressure
gradient, which enters the integral equation of the redistribution term, is shown to
be anisotropic. It is elongated in the streamwise direction and strongly asymmetric
in the direction normal to the wall, in contrast to the isotropic, exponential model
representation used in the original elliptic relaxation model. This discrepancy is the
main cause of the slight amplification of the energy redistribution in the log layer
as predicted by the elliptic relaxation equation. New formulations of the model are
proposed in order to correct this spurious behaviour, by accounting for the rapid
variations of the length scale and the asymmetrical shape of the correlation function.
These formulations do not rely on the use of so-called ‘wall echo’ correction terms to
damp the redistribution. The belief that the damping is due to the wall echo effect is
called into question through the present DNS analysis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.