A smoothed particle hydrodynamics model for miscible flow in three-dimensional fractures and the two-dimensional Rayleigh-Taylor instability

By Alexandre M. Tartakovsky, Paul Meakin. 2005

194 citations recorded by the source corpus.

Subfields: Computational Mechanics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/787385d0b3bbfd0db5ab3402fd125970063a04aa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Moubin Liu
2. Guirong Liu
3. Timothy Scheibe
4. P. Lichtner
5. G. Redden
6. Paul Meakin
7. Alexandre M. Tartakovsky
8. Brian Wood

In Ocean Engineering

1. Moubin Liu
2. Guirong Liu
3. Timothy Scheibe
4. Brian Wood
5. Alexandre M. Tartakovsky
6. Paul Meakin

Citations in the corpus

• Smoothed Particle Hydrodynamics (SPH): an Overview and Recent Developments (2010, methodology): “The SPH method has been recently modified for much smaller scale, typically low Reynolds number, applications The performance of the SPH method was demonstrated for two-dimensional single-phase flows through idealized, porescale porous media composed of spatially periodic square and hexagonal arrays”
• A smoothed particle hydrodynamics model for reactive transport and mineral precipitation in porous and fractured porous media (2007, methodology): “where Fi is the total force acting on the particle i. The SPH diffusion equation is given by [ Tartakovsky and Meakin, 2005c ]”
• An improved SPH method for modeling liquid sloshing dynamics (2012, background): “Later, it has been extensively studied and extended to different problems in engineering and sciences, such as multi-phase [22,23] and multi-scale [24] flows, high strain hydrodynamics with material strength [25–28], explosion and underwater explosion [29–31], and many others [32–34].”
• Thin-film smoothed particle hydrodynamics fluid (2021, unknown): “It can also be extended to different applications such as simulating multiphase flow, computing magnetohydrodynamics, and blue noise sampling [Jiang et al. 2015; Price 2012; Tartakovsky and Meakin 2005].”
• Mixing‐induced precipitation: Experimental study and multiscale numerical analysis (2008, methodology): “…[1977] for astrophysical applications, and it has recently been used to simulate a variety of subsurface processes including microscale unsaturated [Tartakovsky and Meakin, 2005a, 2005b], saturated [Morris et al., 1997; Zhu et al., 1999] and multiphase [Tartakovsky and Meakin, 2006] flows and…”