OpenLB—Open source lattice Boltzmann code

Krause, Mathias J.; Kummerländer, Adrian; Avis, Samuel J.; Kusumaatmaja, Halim; Dapelo, Davide; Klemens, Fabian; Gaedtke, Maximilian; Hafen, Nicolas; Mink, Albert; Trunk, Robin; Marquardt, Jan E.; Maier, Marie-Luise; Haussmann, Marc; Simonis, Stephan

doi:10.1016/j.camwa.2020.04.033

Cited by 117 publications

(91 citation statements)

References 93 publications

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“…(8) and Fig. (9). The pressure coefficient at Re=100 with refined grid is in good agreement with reported values [10,11].…”

Section: Table 1 Simulation Parameters Of Cylinder At Re=300supporting

confidence: 90%

“…In summary, grid refinement method for two-dimensional LBM has been investigated and developed functionally, but the implementations and validations in 3D are rarely seen. This paper describes and validates a novel implementation of a vertex-centered 3D grid refinement method in the Open Source LBM solver OpenLB [9]. First, the grid refinement method will be explained and it will then be applied to two benchmark problems: flow around a circular cylinder and in a lid-driven cavity.…”

Section: Introductionmentioning

confidence: 99%

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Validation of Three-Dimensional Grid Refinement for Lattice Boltzmann Methods

Puente

Stapelfeldt

2021

AIAA Scitech 2021 Forum

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The lattice Boltzmann method (LBM) is a method for modeling fluid dynamics which is based on discrete kinetic theory. It discretizes the continuous Boltzmann equation in velocity, spatial and temporal space and solves a transport equation for particle populations. To enable an efficient time-space discretization with discrete velocity sets, common LBM solvers employ uniform grids making them prohibitively expensive for the simulation of high Reynolds number flows. This paper describes the implementation of a vertex-centered grid refinement method with BGK operator in the Open-source Lattice Boltzmann code, OpenLB. The method is validated for flow around a 3D circular cylinder with Reynolds number varying from 100 to 300 and the 3D lid-driven cavity with Reynolds number equals 3200. The results are in good agreement with experimental measurements and the reference solutions with uniform grid spacing. The simulation with grid refinement allows for remarkable computational cost savings for a given accuracy.

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“…(8) and Fig. (9). The pressure coefficient at Re=100 with refined grid is in good agreement with reported values [10,11].…”

Section: Table 1 Simulation Parameters Of Cylinder At Re=300supporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Validation of Three-Dimensional Grid Refinement for Lattice Boltzmann Methods

Puente

Stapelfeldt

2021

AIAA Scitech 2021 Forum

View full text Add to dashboard Cite

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“…In contrast, this paper aims to demonstrate the feasibility of a complete open-source FSI workflow to simulate a CMF. Therefore, OpenLB [26,27], an open-source implementation of LBM, is coupled to the open-source FEM framework Elmer [28]. The implemented coupling procedure uses a staggered approach.…”

Section: Introductionmentioning

confidence: 99%

Fluid–Structure Interaction Simulation of a Coriolis Mass Flowmeter Using a Lattice Boltzmann Method

Haussmann¹,

Reinshaus²,

Simonis

et al. 2021

Fluids

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In this paper, we use a fluid–structure interaction (FSI) approach to simulate a Coriolis mass flowmeter (CMF). The fluid dynamics is calculated by the open-source framework OpenLB, based on the lattice Boltzmann method (LBM). For the structural dynamics we employ the open-source software Elmer, an implementation of the finite element method (FEM). A staggered coupling approach between the two software packages is presented. The finite element mesh is created by the mesh generator Gmsh to ensure a complete open source workflow. The Eigenmodes of the CMF, which are calculated by modal analysis, are compared with measurement data. Using the estimated excitation frequency, a fully coupled, partitioned, FSI simulation is applied to simulate the phase shift of the investigated CMF design. The calculated phase shift values are in good agreement to the measurement data and verify the suitability of the model to numerically describe the working principle of a CMF.

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“…The simulations were performed applying the homogenized lattice Boltzmann method (HLBM), introduced by Krause et al [33] and validated in a previous work by Trunk et al [34]. It is used within the open-source C++ simulation framework OpenLB [35,36].…”

Section: Introductionmentioning

confidence: 99%

A Study on Shape-Dependent Settling of Single Particles with Equal Volume Using Surface Resolved Simulations

et al. 2021

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A detailed knowledge of the influence of a particle’s shape on its settling behavior is useful for the prediction and design of separation processes. Models in the available literature usually fit a given function to experimental data. In this work, a constructive and data-driven approach is presented to obtain new drag correlations. To date, the only considered shape parameters are derivatives of the axis lengths and the sphericity. This does not cover all relevant effects, since the process of settling for arbitrarily shaped particles is highly complex. This work extends the list of considered parameters by, e.g., convexity and roundness and evaluates the relevance of each. The aim is to find models describing the drag coefficient and settling velocity, based on this extended set of shape parameters. The data for the investigations are obtained by surface resolved simulations of superellipsoids, applying the homogenized lattice Boltzmann method. To closely study the influence of shape, the particles considered are equal in volume, and therefore cover a range of Reynolds numbers, limited to [9.64, 22.86]. Logistic and polynomial regressions are performed and the quality of the models is investigated with further statistical methods. In addition to the usually studied relation between drag coefficient and Reynolds number, the dependency of the terminal settling velocity on the shape parameters is also investigated. The found models are, with an adjusted coefficient of determination of 0.96 and 0.86, in good agreement with the data, yielding a mean deviation below 5.5% on the training and test dataset.

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OpenLB—Open source lattice Boltzmann code

Cited by 117 publications

References 93 publications

Validation of Three-Dimensional Grid Refinement for Lattice Boltzmann Methods

Validation of Three-Dimensional Grid Refinement for Lattice Boltzmann Methods

Fluid–Structure Interaction Simulation of a Coriolis Mass Flowmeter Using a Lattice Boltzmann Method

A Study on Shape-Dependent Settling of Single Particles with Equal Volume Using Surface Resolved Simulations

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