Smooth Particle Hydrodynamics with nonlinear Moving-Least-Squares WENO reconstruction to model anisotropic dispersion in porous media

• Published in: Advances in water resources 2015-06, Vol.80, p.43-59
• Main Authors: Avesani, Diego, Herrera, Paulo, Chiogna, Gabriele, Bellin, Alberto, Dumbser, Michael
• Format: Article
• Language: English
• Subjects: Advection-diffusion equation; Anisotropic dispersion; Anisotropy; Dispersions; Mathematical models; Meshless Lagrangian particle methods; Moving-Least-Squares (MLS); Oscillations; Porous media; Reconstruction; Smooth Particle Hydrodynamics (SPH); Tensors; WENO reconstruction
• ISSN: 0309-1708; 1872-9657
• DOI: 10.1016/j.advwatres.2015.03.007

•Presentation of a new SPH scheme for solute transport in porous media.•MWSPH reduces the occurrence and magnitude of negative concentrations.•MWSPH is less sensitivity to particle disorder compared to standard SPH. Most numerical schemes applied to solve the advection–diffusion equation are affected by numerical diffusion. Moreover, unphysical results, such as oscillations and negative concentrations, may emerge when an anisotropic dispersion tensor is used, which induces even more severe errors in the solution of multispecies reactive transport. To cope with this long standing problem we propose a modified version of the standard Smoothed Particle Hydrodynamics (SPH) method based on a Moving-Least-Squares-Weighted-Essentially-Non-Oscillatory (MLS-WENO) reconstruction of concentrations. This scheme formulation (called MWSPH) approximates the diffusive fluxes with a Rusanov-type Riemann solver based on high order WENO scheme. We compare the standard SPH with the MWSPH for different a few test cases, considering both homogeneous and heterogeneous flow fields and different anisotropic ratios of the dispersion tensor. We show that, MWSPH is stable and accurate and that it reduces the occurrence of negative concentrations compared to standard SPH. When negative concentrations are observed, their absolute values are several orders of magnitude smaller compared to standard SPH. In addition, MWSPH limits spurious oscillations in the numerical solution more effectively than classical SPH. Convergence analysis shows that MWSPH is computationally more demanding than SPH, but with the payoff a more accurate solution, which in addition is less sensitive to particles position. The latter property simplifies the time consuming and often user dependent procedure to define the initial dislocation of the particles.