Stable fluid-rigid body interaction algorithm using the direct-forcing immersed boundary method (DF-IBM)

• The Navier-Stokes equations were coupled to the Newton-Euler equations under the direct-forcing immersed boundary framework. • An implicit coupling algorithm was developed under the partitioned approach for fluid-rigid body interaction problems. • Numerical challenges stemming from the internal mass effect were mitigated using a fixed relaxation technique. The direct-forcing immersed boundary method (DF-IBM) algorithm previously developed by the authors is extended by coupling the Navier-Stokes equations with the Newton-Euler equations for rigid body dynamics within the DF-IBM framework. This coupling broadens the applicability of the previous development, from stationary or prescribed motion to flow-induced (free) motion cases. To address fluid-rigid body interactions under a partitioned approach, an implicit coupling algorithm is developed to handle strongly coupled interface conditions. Stability and convergence issues, particularly stemming from critical solid-fluid density ratios and from the rigid body approximation of internal mass effects in rotational dynamics, are mitigated using a fixed relaxation technique for the rigid body kinematics to ensure numerical robustness. Additionally, the proposed algorithm leverages the previously developed DF-IBM formulation and the predictor-corrector strategy of the pressure implicit with splitting of operators (PISO) algorithm by omitting the momentum predictor step and the costly corrector loops from the implicit iterations. The method is validated against several benchmark cases, demonstrating robustness, stability, and efficiency in capturing complex fluid-rigid body interactions across a range of challenging scenarios.

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Publication Details

Journal
Journal of Fluids and Structures
Published
2026-01-05
DOI
https://doi.org/10.1016/j.jfluidstructs.2025.104496
Citations
1
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
41.77
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article

Stable fluid-rigid body interaction algorithm using the direct-forcing immersed boundary method (DF-IBM)

Patrick G. Verdin, Abdellatif Ouahsine, Elias Farah, Badr Kaoui
1 citations
Journal of Fluids and Structures
Lattice Boltzmann Simulation Studies
41.77
article

Stable fluid-rigid body interaction algorithm using the direct-forcing immersed boundary method (DF-IBM)

Patrick G. Verdin, Abdellatif Ouahsine, Elias Farah, Badr Kaoui
article en
1 citations

Abstract

• The Navier-Stokes equations were coupled to the Newton-Euler equations under the direct-forcing immersed boundary framework. • An implicit coupling algorithm was developed under the partitioned approach for fluid-rigid body interaction problems. • Numerical challenges stemming from the internal mass effect were mitigated using a fixed relaxation technique. The direct-forcing immersed boundary method (DF-IBM) algorithm previously developed by the authors is extended by coupling the Navier-Stokes equations with the Newton-Euler equations for rigid body dynamics within the DF-IBM framework. This coupling broadens the applicability of the previous development, from stationary or prescribed motion to flow-induced (free) motion cases. To address fluid-rigid body interactions under a partitioned approach, an implicit coupling algorithm is developed to handle strongly coupled interface conditions. Stability and convergence issues, particularly stemming from critical solid-fluid density ratios and from the rigid body approximation of internal mass effects in rotational dynamics, are mitigated using a fixed relaxation technique for the rigid body kinematics to ensure numerical robustness. Additionally, the proposed algorithm leverages the previously developed DF-IBM formulation and the predictor-corrector strategy of the pressure implicit with splitting of operators (PISO) algorithm by omitting the momentum predictor step and the costly corrector loops from the implicit iterations. The method is validated against several benchmark cases, demonstrating robustness, stability, and efficiency in capturing complex fluid-rigid body interactions across a range of challenging scenarios.

Journal of Fluids and StructuresVol. 142
Université de Technologie de Compiègne (FR), Sorbonne Université (FR), Cranfield University (GB)
Openalex Percentile: Top 2%
Lattice Boltzmann Simulation Studies
41.77
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