An improved implicit direct-forcing immersed boundary method (DF-IBM) is proposed for
simulating interactions between incompressible fluid flows and complex rigid structures undergoing
arbitrary free motion, commonly referred to as fluid–rigid body interaction problems.
The proposed approach harnesses the pressure implicit with splitting of operators
(PISO) algorithm to efficiently handle the dual constraints of the fluid–solid system in a
segregated manner. Consequently, the divergence-free condition is maintained throughout
the Eulerian domain, while the kinematic no-slip velocity boundary condition is exactly
enforced on the immersed boundary, also termed as the fluid–structure interface. A new
pressure Poisson equation (PPE) is derived, incorporating the boundary force directly where
the no-slip condition is satisfied. This approach avoids altering the coefficient matrix of the
PPE, which could otherwise introduce convergence issues, enabling the use of fast iterative
PPE solvers without modifications. The improvement involves integrating Lagrangian weight
methods, having better reciprocity over the IBM-related linear operators, within the implicit
formulation. An additional force initialization scheme is introduced to accelerate the convergence
of the no-slip boundary condition, thereby improving the algorithm’s performance.
The Navier-Stokes equations are coupled with the rigid body dynamics, described by the
Newton-Euler equations, within the improved DF-IBM framework. Both explicit and implicit
coupling algorithms are developed to address weakly and strongly coupled fluid–rigid body
interaction problems, respectively, under a partitioned approach. Stability and convergence
issues, particularly stemming from critical solid–fluid density ratios and/or the rigid body
approximation of the internal mass effects (IME) in rotational dynamics, are mitigated using
a fixed relaxation technique for the rigid body kinematics. For implicit coupling, a fixed-point
strategy is employed, complemented by the relaxation technique used for the IME to ensure
robustness. Additionally, the proposed coupling algorithms leverage the DF-IBM formulation
and the predictor-corrector strategy of the PISO solution algorithm, by excluding the
momentum predictor step and the time-intensive corrector loops from the implicit iterations.
The proposed method is validated through various stationary, prescribed, and freely moving
immersed boundary cases, with results compared against experimental and numerical data
from the literature. The method demonstrates robustness, accuracy, and efficiency in handling
the complex dynamics of fluid–rigid body interactions across a range of challenging scenarios.
The suggested improvements integrate seamlessly into existing incompressible fluid
solvers with minimal adjustments to the original system of equations, highlighting their ease
of implementation. Finally, the present work is implemented within the cell-centred finite
volume approach inside the open-source C++ toolbox OpenFOAM environment, version 7.0
of the OpenFOAM Foundation variant.PhD in Energy and Powe
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