The fundamental understanding and predictive modeling of sediment transport have important implications for coastal engineering and for earth surface science. However, such efforts are hindered by the complex dynamics with a wide range of temporal and spatial scales. To address such challenges, we develop novel algorithms and advanced computational tools for particle-resolving simulations, where the motions of, and collisions among, the sediment particle as well as their interactions with surrounding turbulent flows are resolved.
Researchers: Dr. Rui Sun
Collaborator(s): Dr. Jin Sun (University of Edinburgh)
- R. Sun and H. Xiao. SediFoam: A general-purpose, open-source CFD-DEM solver for particle-laden flows with emphasis on sediment transport. Computers and Geosciences, 89, 207-219, 2016.
- R. Sun and H. Xiao. Diffusion-based coarse graining in hybrid continuum–discrete solvers: Theoretical formulation and a priori tests. International Journal of Multiphase Flow, 77, 142-157, 2015.
- R. Sun and H. Xiao. Diffusion-based coarse graining in hybrid continuum–discrete solvers: Applications in CFD-DEM. International Journal of Multiphase Flow, 72, 233-247, 2015.
- R. Sun and H. Xiao. CFD-DEM simulations of current-induced dune formation and morphological evolution. Advances in Water Resources, 92, 228-239, 2016.
- H. Xiao and J. Sun. Algorithms in a robust hybrid CFD-DEM solver for particle-laden flows. Communications in Computational Physics, 9(2), 297-323, 2011.