Physically consistent immersed boundary method: A framework for predicting hydrodynamic forces on particles with coarse meshes

In the present paper, a fluid-particle coupling method is directly derived from the Navier-Stokes equations (NSE) by applying the concept of volume-filtering, yielding a physically consistent methodology to incorporate solid wall boundary conditions in the volume-filtered flow solution, thereby allowing to solve the governing flow equations on non-body conforming meshes. The resulting methodology possesses similarities with a continuous forcing immersed boundary method (IBM) and is, therefore, termed physically consistent IBM (PC-IBM). Based on the recent findings of Hausmann et al. [1] , the closures arising in the volume-filtered NSE are closed by suitable models or even expressed analytically. The PC-IBM is fully compatible with the large eddy simulation framework, as the volume-filtered NSE converge to the filtered NSE away from solid boundaries. The potential of the PC-IBM is demonstrated by means of different particle-laden flow applications, including a dense packing of fixed particles and periodic settling of 500 particles. The new methodology turns out to be capable of accurately predicting the fluid forces on particles with relatively coarse mesh resolutions. For the flow around isolated spheres, a spatial resolution of six fluid mesh cells per diameter is sufficient to predict the drag force with less than 10% deviation from highly resolved simulation for the investigated particle Reynolds numbers ranging from 10 to 250. • New immersed boundary method based on volume-filtering. • Predict hydrodynamic forces on particles accurately with coarse fluid resolutions. • Physical explanation of flow inside particles. • Converges to large eddy simulation far away from particles.

Authors

Publication Details

Journal
Journal of Computational Physics
Published
2024-09-20
DOI
https://doi.org/10.1016/j.jcp.2024.113448
Citations
5
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
1.87

Funders

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article

Physically consistent immersed boundary method: A framework for predicting hydrodynamic forces on particles with coarse meshes

Hani Elmestikawy, Max Hausmann, Berend van Wachem
5 citations
Journal of Computational Physics
Lattice Boltzmann Simulation Studies
1.87
article

Physically consistent immersed boundary method: A framework for predicting hydrodynamic forces on particles with coarse meshes

Hani Elmestikawy, Max Hausmann, Berend van Wachem
article en
5 citations

Abstract

In the present paper, a fluid-particle coupling method is directly derived from the Navier-Stokes equations (NSE) by applying the concept of volume-filtering, yielding a physically consistent methodology to incorporate solid wall boundary conditions in the volume-filtered flow solution, thereby allowing to solve the governing flow equations on non-body conforming meshes. The resulting methodology possesses similarities with a continuous forcing immersed boundary method (IBM) and is, therefore, termed physically consistent IBM (PC-IBM). Based on the recent findings of Hausmann et al. [1] , the closures arising in the volume-filtered NSE are closed by suitable models or even expressed analytically. The PC-IBM is fully compatible with the large eddy simulation framework, as the volume-filtered NSE converge to the filtered NSE away from solid boundaries. The potential of the PC-IBM is demonstrated by means of different particle-laden flow applications, including a dense packing of fixed particles and periodic settling of 500 particles. The new methodology turns out to be capable of accurately predicting the fluid forces on particles with relatively coarse mesh resolutions. For the flow around isolated spheres, a spatial resolution of six fluid mesh cells per diameter is sufficient to predict the drag force with less than 10% deviation from highly resolved simulation for the investigated particle Reynolds numbers ranging from 10 to 250. • New immersed boundary method based on volume-filtering. • Predict hydrodynamic forces on particles accurately with coarse fluid resolutions. • Physical explanation of flow inside particles. • Converges to large eddy simulation far away from particles.

Journal of Computational PhysicsVol. 519
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 16%
Lattice Boltzmann Simulation Studies
1.87
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