A Numerical Framework for Fast Transient Compressible Flows Using Lattice Boltzmann and Immersed Boundary Methods

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2025-02-07 DOI:10.1002/nme.7647
Hippolyte Lerogeron, Pierre Boivin, Vincent Faucher, Julien Favier
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Abstract

This article is dedicated to the development of a model to simulate fast transient compressible flows on solid structures using immersed boundary method (IBM) and a lattice Boltzmann solver. Ultimately, the proposed model aims at providing an efficient algorithm to simulate strongly-coupled fluid-structure interactions (FSI). Within this goal, it is necessary to propose a precise and robust numerical framework and validate it on stationary solid cases first, which is the scope of the present study. Classical FSI methods, such as body-fitted approaches, are facing challenges with moving or complex geometries in realistic conditions, requiring computationally expensive re-meshing operations. IBM offers an alternative by treating the solid structure geometry independently from the fluid mesh. This study focuses on the extension of the IBM to compressible flows, and a particular attention is given to the enforcement of various thermal boundary conditions. A hybrid approach, combining diffuse forcing for Dirichlet-type boundary conditions and ghost-nodes forcing for Neumann-type boundary conditions is introduced. Finally, a simplified model, relying only on diffuse IBM forcing, is investigated to treat specific cases where the fluid solid interface is considered as adiabatic. The accuracy of the method is validated through various test cases of increasing complexity.

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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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