Subgrid modeling in particle-laden channel flow

By J. Kuerten. 2006

187 citations recorded by the source corpus.

Subfields: Computational Mechanics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/5ea5af078401d4e56132dda0714a06c3f0d68244

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. Alfredo Soldati
2. C. Marchioli
3. Jacek Pozorski
4. Sourabh V. Apte
5. Markus Uhlmann
6. A. W. Vreman

In Ocean Engineering

1. Alfredo Soldati
2. C. Marchioli
3. Jacek Pozorski
4. Sourabh V. Apte
5. Markus Uhlmann
6. A. W. Vreman

Citations in the corpus

• Physics and modelling of turbulent particle deposition and entrainment: Review of a systematic study (2009, methodology): “These findings are in line with previous LES applications to particle dispersion in turbulent wall-bounded flows (Kuerten and Vreman, 2005; Kuerten, 2006).”
• Filtered particle tracking in isotropic turbulence and stochastic modeling of subgrid-scale dispersion (2009, methodology): “The marginally-resolved flow scales can be partly retrieved through deterministic structural-type models (such as ADM, cf. Kuerten 2006) what makes a consistent approach.”
• Space-Time Correlations and Dynamic Coupling in Turbulent Flows (2017, unknown): “The approximate deconvolution method could recover the one-particle statistics and, to some extent, improve the prediction of two-particle statistics with separations approximately equal to the grid resolution (Kuerten & Vreman 2005, Kuerten 2006, Shotorban et al. 2007).”