TY - GEN
T1 - Prediction of preferential concentration statistics from Eulerian two-point correlations
AU - Banko, Andrew
AU - Villafane Roca, Laura
AU - Esmaily-Moghadam, Mahdi
AU - Eaton, John K.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Non-local statistics of preferential concentration in the inertial range of turbulence are studied by considering the size distribution of high number density regions of particles, "clusters," and low number density regions, "voids". Direct Numerical Simulation is used to compute particle and fluid phase statistics in particle-laden isotropic turbulence and turbulent square duct flow, including the size distributions of clusters and voids. It is found, in agreement with the literature, that clusters are correlated with low enstrophy flow structures and voids with high enstrophy flow structures. Statistical topography is used to predict the size distributions of clusters and voids, which are in good agreement with those computed from the isotropic turbulence simulations. This suggests that the underlying carrier phase turbulence can be used to quantitatively model more complicated statistics of the particle phase in homogeneous and isotropic turbulence. However, the statistical topography methods poorly predict preferential concentration in an anisotropic turbulent square duct flow. The model shortcomings are discussed.
AB - Non-local statistics of preferential concentration in the inertial range of turbulence are studied by considering the size distribution of high number density regions of particles, "clusters," and low number density regions, "voids". Direct Numerical Simulation is used to compute particle and fluid phase statistics in particle-laden isotropic turbulence and turbulent square duct flow, including the size distributions of clusters and voids. It is found, in agreement with the literature, that clusters are correlated with low enstrophy flow structures and voids with high enstrophy flow structures. Statistical topography is used to predict the size distributions of clusters and voids, which are in good agreement with those computed from the isotropic turbulence simulations. This suggests that the underlying carrier phase turbulence can be used to quantitatively model more complicated statistics of the particle phase in homogeneous and isotropic turbulence. However, the statistical topography methods poorly predict preferential concentration in an anisotropic turbulent square duct flow. The model shortcomings are discussed.
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M3 - Conference contribution
AN - SCOPUS:85033226168
T3 - 10th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2017
BT - 10th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2017
PB - International Symposium on Turbulence and Shear Flow Phenomena, TSFP10
T2 - 10th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2017
Y2 - 6 July 2017 through 9 July 2017
ER -