Hybrid fictitious domain-immersed boundary solver coupled with discrete element method for simulations of flows laden with arbitrarily-shaped particles

Isoz, Martin; Šourek, Martin Kotouč; Studeník, Ondřej; Kočí, Petr

doi:10.1016/j.compfluid.2022.105538

Cited by 17 publications

(13 citation statements)

References 88 publications

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“…It only considers the particle surface domain and is more computationally efficient. Note that researchers may distinguish IBM from FD in the literature 155,156 . IBM came first and as originally proposed with a regularized Dirac delta function to exchange velocity and force between the Lagrangian markers of a particle and the Eulerian nodes of a fluid grid.…”

Section: Technical Reviewmentioning

confidence: 99%

The role of particle shape in computational modelling of granular matter

Zhao,

Luding

2023

Nat Rev Phys

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Granular matter is ubiquitous in nature and is present in diverse forms in important engineering, industrial and natural processes. Particle-based computational modelling has become indispensable to understand and predict the complex behaviour of granular matter in these processes. The success of modern computational models requires realistic and efficient consideration of particle shape. Realistic particle shapes in naturally occurring and engineered materials offer diverse challenges owing to their multiscale nature in both length and time. Furthermore, the complex interactions with other materials, such as interstitial fluids, are highly nonlinear and commonly involve multiphysics coupling. This Technical Review presents a comprehensive appraisal of state-of-the-art computational models for granular particles of either naturally occurring shapes or engineered geometries. It focuses on particle shape characterization, representation and implementation, as well as its important effects. In addition, the particles may be hard, highly deformable, crushable or phase transformable; they might change their behaviour in the presence of interstitial fluids and are sensitive to density, confining stress and flow state. We describe generic methodologies that capture the universal features of granular matter and some unique approaches developed for special but important applications. Sections• Consideration of shape effects in coupled simulations of granular particles and environmental fluids requires revamped theories and methods to faithfully reflect their underpinning multiphase, multiphysics nature.• Incorporating realistic particle shapes in granular matter modelling must harness the latest advances in parallel computing and machine learning for effective large-scale computations.Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

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Section: Technical Reviewmentioning

confidence: 99%

The role of particle shape in computational modelling of granular matter

Zhao,

Luding

2023

Nat Rev Phys

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“…In this contribution, we present recent advances in the development of a connection of the RAS approach and our custom IB method variant, the hybrid fictitious domain-immersed boundary method (HFDIB), see (Isoz et al, 2022). The main motivation is application of the resulting HFDIB-RAS approach in an automated geometry optimization.…”

Section: Introductionmentioning

confidence: 99%

Reynolds-Averaged Simulation of Turbulent Flows with Immersed Boundaries

Kubíčková,

Isoz

2024

Engineering Mechanics

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Simulating turbulent flows in complex real-life geometries faces two major problems. First, direct simulation of turbulent flow is extremely costly. Second, a complex geometry-conforming mesh is required, and such mesh presumably suffers from several mesh-quality related problems lowering the solution accuracy and prolonging the simulation time. To solve the first problem, phenomenological turbulence models based on, e.g. Reynolds-averaging, are commonly utilized. To address the second one, a variant of an immersed boundary (IB) method can be used where the complex geometry is projected onto a simple mesh by an indicator field and adjustment of governing equations. Consequently, a connection of Reynolds-averaging and an immersed boundary method shall resolve both the problems and provide a simulation approach favorable for e.g. optimizations. However, such a connection is not common. In this contribution, we utilize our custom IB variant, the hybrid fictitious domain-immersed boundary method (HFDIB) and aim on extending the HFDIB by tools of the Reynolds-averaged simulation (RAS). In comparison with standard simulation approaches, the new HFDIB-RAS approach shows acceptable results in wide range of flow Reynolds numbers and in several testing geometries.

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“…In this work, we present recent improvements in parallel computing of a polyhedron-based in-house developed DEM solver that is primarily designed for particle-resolved direct numerical simulation in CFD-DEM applications (Isoz et al, 2022). As such, it was implemented in the OpenFOAM C++ library, which uses message-passing interface (MPI) parallelization.…”

Section: Introductionmentioning

confidence: 99%

Parallelization of DEM Solver for Non-Spherical Solids: A Pathway to Scalable CFD-DEM Simulations

Studeník,

Kotouč Šourek,

Isoz

et al. 2024

Engineering Mechanics

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Granular matter formed from non-spherical solids appears in both natural and industrial settings. These include, among others, landslides, mixing, and fluidization. The commonly used predictive method for granular matter is the discrete element method (DEM). However, DEM was initially designed for spherical particles and faces many challenges in modeling the non-spherical ones , which are prevalent. Therefore, various approaches, including multi-sphere clusters, super-quadrics and polyhedral models, were developed to approximate the irregular shapes. The polyhedral approach offers the highest level of fidelity, but comes with the biggest computational costs, particularly for non-convex particles. Hence, optimization and parallelization of codes with polyhedron-based DEM solvers are of great interest. In this work, we present recent advances in the development of our custom polyhedron-based DEM solver, focusing on parallel computing. With improvements in the solver architecture and boosted computational efficiency, the DEM code scales well at least up to 32 cores and allows for efficient coupling with computational fluid dynamics (CFD) to simulate complex particle-laden flows.

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Hybrid fictitious domain-immersed boundary solver coupled with discrete element method for simulations of flows laden with arbitrarily-shaped particles

Cited by 17 publications

References 88 publications

The role of particle shape in computational modelling of granular matter

The role of particle shape in computational modelling of granular matter

Reynolds-Averaged Simulation of Turbulent Flows with Immersed Boundaries

Parallelization of DEM Solver for Non-Spherical Solids: A Pathway to Scalable CFD-DEM Simulations

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