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.

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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
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article

An accurate immersed boundary method using radial-basis functions for incompressible flows

Imran Akhtar, Arman Hemmati, Muhammad Saif Ullah Khalid, Hamayun Farooq
5 citations
Journal of Computational Physics
Lattice Boltzmann Simulation Studies
6.67
article

An accurate immersed boundary method using radial-basis functions for incompressible flows

Imran Akhtar, Arman Hemmati, Muhammad Saif Ullah Khalid, Hamayun Farooq
article en
5 citations

Abstract

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.

Journal of Computational PhysicsVol. 531
University of Alberta (CA), National University of Technology (PK), Lakehead University (CA), Emerson (Sweden) (SE), National University of Sciences and Technology (PK)
Openalex Percentile: Top 3%
Lattice Boltzmann Simulation Studies
6.67
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An accurate immersed boundary method using radial-basis functions for incompressible flows — Imran Akhtar, Arman Hemmati, et al. · Journal of Computational Physics (2025) | TGRS Research Map | TGRS