An accurate immersed boundary method using radial-basis functions for incompressible flows
In this work, we introduce a parallel computational solver based on the sharp-interface immersed boundary method for simulating three-dimensional incompressible flows over stationary and moving boundaries. Despite the robustness and ease of implementation of conventional body-conformal grid methods, they are limited to relatively simple immersed geometries, leading to challenges in grid generation and quality. Our approach employs a multi-dimensional ghost-cell methodology and radial basis functions interpolation/splines to achieve accurate boundary condition and superior efficiency. We utilize unstructured triangular elements for geometric surface discretization and non-uniform Cartesian grids for constructing flow domains around the immersed boundaries. Furthermore, full parallelization using domain decomposition ensures scalability on distributed memory platforms, facilitated through message-passing interface libraries. Additionally, we introduce a flow smoothing strategy to mitigate spurious pressure oscillations near immersed bodies. Through simulations of two- and three-dimensional fluid-structure interaction problems, we demonstrate the effectiveness, accuracy, and efficiency of our computational solver. • An immersed-boundary method is coupled with radial basis functions interpolation. • A smoothing strategy is introduced to mitigate spurious oscillations in pressure. • The full parallelization of the solver through domain decomposition is explained.
Authors
- Imran Akhtar (ORCID: https://orcid.org/0000-0001-5121-5579)
- Arman Hemmati (ORCID: https://orcid.org/0000-0002-8897-4525)
- Muhammad Saif Ullah Khalid (ORCID: https://orcid.org/0000-0001-6595-6466)
- Hamayun Farooq (ORCID: https://orcid.org/0000-0002-3125-5191)
Institutions
- University of Alberta (CA)
- National University of Technology (PK)
- Lakehead University (CA)
- Emerson (Sweden) (SE)
- National University of Sciences and Technology (PK)
Publication Details
- Journal
- Journal of Computational Physics
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1016/j.jcp.2025.113928
- Citations
- 5
- Primary Topic
- Lattice Boltzmann Simulation Studies
- Type
- article
- Field-Weighted Citation Impact
- 6.67