Modelling of filtered drag force for clustered particle-laden flows based on interface-resolved simulation data

Interface-resolved direct numerical simulations (DNS) of clustered settling suspensions in a periodic domain are performed to study the filtered drag force for clustered particle-laden flows. Our results show that, for the homogeneous system, the filtered drag is independent of the filter size, whereas for the clustered particle-laden flows, the averaged drag becomes smaller than the homogeneous drag at the filter size above 4 particle diameters. The drag reduction saturates at the filter size being comparable to the cluster size in the horizontal direction in our simulations. A new correlation is proposed to account for the mesoscale effect on the filtered drag force by using drift velocity and variance of the solid volume fraction, based on the modification of existing subgrid drag models for the inhomogeneous system. The existing models for the drift velocity and the variance of the solid volume fraction are assessed using our DNS data. A new model for the drift velocity and the variance of the solid volume fraction is proposed, based on the combination and modification of the previous models. All mesoscale models considered can predict well the filtered drag with comparable accuracy, and are superior to the homogeneous drag model for the clustered system. Our models with the same parameter values obtained from the large-scale system can also predict well the filtered drag for smaller computational domain sizes.

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Publication Details

Journal
Journal of Fluid Mechanics
Published
2024-11-04
DOI
https://doi.org/10.1017/jfm.2024.857
Citations
6
Primary Topic
Particle Dynamics in Fluid Flows
Type
article
Field-Weighted Citation Impact
2.01

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article

Modelling of filtered drag force for clustered particle-laden flows based on interface-resolved simulation data

Zhaowu Lin, Yan Xia, Zhaosheng Yu, Yu Guo
6 citations
Journal of Fluid Mechanics
Particle Dynamics in Fluid Flows
2.01
article

Modelling of filtered drag force for clustered particle-laden flows based on interface-resolved simulation data

Zhaowu Lin, Yan Xia, Zhaosheng Yu, Yu Guo
article en
6 citations

Abstract

Interface-resolved direct numerical simulations (DNS) of clustered settling suspensions in a periodic domain are performed to study the filtered drag force for clustered particle-laden flows. Our results show that, for the homogeneous system, the filtered drag is independent of the filter size, whereas for the clustered particle-laden flows, the averaged drag becomes smaller than the homogeneous drag at the filter size above 4 particle diameters. The drag reduction saturates at the filter size being comparable to the cluster size in the horizontal direction in our simulations. A new correlation is proposed to account for the mesoscale effect on the filtered drag force by using drift velocity and variance of the solid volume fraction, based on the modification of existing subgrid drag models for the inhomogeneous system. The existing models for the drift velocity and the variance of the solid volume fraction are assessed using our DNS data. A new model for the drift velocity and the variance of the solid volume fraction is proposed, based on the combination and modification of the previous models. All mesoscale models considered can predict well the filtered drag with comparable accuracy, and are superior to the homogeneous drag model for the clustered system. Our models with the same parameter values obtained from the large-scale system can also predict well the filtered drag for smaller computational domain sizes.

Journal of Fluid MechanicsVol. 998
Zhejiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 14%
Particle Dynamics in Fluid Flows
2.01
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Modelling of filtered drag force for clustered particle-laden flows based on interface-resolved simulation data — Zhaowu Lin, Yan Xia, et al. · Journal of Fluid Mechanics (2024) | TGRS Research Map | TGRS