Robust event-driven particle tracking in complex geometries

Strobl, Severin; Bannerman, Marcus N.; Pöschel, Thorsten

doi:10.1016/j.cpc.2020.107229

Cited by 6 publications

(5 citation statements)

References 40 publications

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“…It consists in finding per each particle the cell in which it is included. In literature, three main methods are present: brute force, tree-based [29,30], and raytracing [31]. A brute force approach works in every situation but is inefficient, especially when the number of particles is high, or the domain is large.…”

Section: Parallel Ray-tracingmentioning

confidence: 99%

Efficient Lagrangian particle tracking algorithms for distributed-memory architectures

Baldan¹,

Bellosta²,

Guardone³

2023

Computers & Fluids

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Section: Parallel Ray-tracingmentioning

confidence: 99%

Efficient Lagrangian particle tracking algorithms for distributed-memory architectures

Baldan¹,

Bellosta²,

Guardone³

2023

Computers & Fluids

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“…Smorygo et al have show that inverse sphere packings are an excellent model for open-cell porous foam structures [7], therefore, we use constructive solid geometry (CSG) [9,10] to model the geometrical shape of the foam. This shape is then used as boundary of the simulation for the particle based fluid dynamics described in Sec.…”

Section: Open-cell Foammentioning

confidence: 99%

“…The numerically robust implementation of CSG boundaries to represent complex shapes is nontrivial; details can be found in [10,17].…”

Section: Open-cell Foammentioning

confidence: 99%

“…In the current paper, we employ isotropic Stochastic Rotation Dynamics (iSRD) [8] to simulate the flow of a reactive gas in a porous media. The foam structure is described using Constructive Solid Geometry (CSG) [9,10]. Special care is required in regard to the boundary conditions, since pressure boundary conditions suffer from instabilities for particle-based fluid dynamics [11,12].…”

Section: Introductionmentioning

confidence: 99%

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Simulation of catalytic reactions in open-cell foam structures

Mühlbauer,

Strobl,

Coleman

et al. 2020

Preprint

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Funding information DFG, SFB, ZISC, FPN, Haus Grant/Award Number: 123456 We describe a technique for particle-based simulations of heterogeneous catalysis in open-cell foam structures, which is based on isotropic Stochastic Rotation Dynamics (iSRD) together with Constructive Solid Geometry (CSG). The approach is validated by means of experimental results for the low temperature water-gas shift reaction in an open-cell foam structure modeled as inverse sphere packing. Considering the relation between Sherwood and Reynolds number, we find two distinct regimes meeting approximately at the strut size Reynolds number 10. For typical parameters from the literature, we find that the catalyst density in the washcoat can be reduced considerably without a notable loss of conversion efficiency. We vary the porosity to determine optimum open-cell foam structures, which combine low flow resistance with high conversion efficiency and find large porosity values to be favorable not only in the mass transfer limited regime but also in the intermediate regime.

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“…Streamlines for gas flow in an open-cell porous foam structure modeled as inverse sphere packing using constructive solid geometry (CSG)[27].is driven by an external acceleration, resulting in the superficial and maximum velocities 0.10 c s and 0.30 c s , respectively. For the considered setup, the pore size Reynolds number is Re = superficial velocity × pore size kinematic viscosity = 26 , (2) while the Schmidt number is 0.77.…”

mentioning

confidence: 99%

Simulation of reactive flows using particle methods

Mühlbauer,

Strobl,

Pöschel

2020

Preprint

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We describe a new computational method for the numerically stable particle-based simulation of open-boundary flows, including volume conserving chemical reactions. The novel method is validated for the case of heterogeneous catalysis against a reliable reference simulation and is shown to deliver identical results while the computational efficiency is significantly increased. K E Y W O R D S reactive flow, particle based fluid mechanics, pressure boundaries 1 | INTRODUCTION In particle-based fluid simulation methods, pressure boundary conditions, also called open boundaries are notoriously problematic since either the inflow into the simulation domain or the outflow out of the domain is not known à priori. Instead, it depends on the difference of the external pressure given as a boundary condition and the internal pressure which is part of the solution of the hydrodynamic problem itself. Thus, we have the peculiar situation that the quantity we can control at the boundary in particle-based fluid simulation, namely the material flux, is unknown.A prototypical problem is a water pipe which is fed from a constant pressure source at one side and emptied against atmospheric air pressure at the other side. According to the paradigm of particle-based hydrodynamics, quasi-particles enter and leave the pipe at both sides in quantities given by the rules of hydrodynamics. The problem of the computational method of particle-based hydrodynamics is to determine the frequency at which particles are inserted into or extracted from the simulation domain as well as the velocities of the inserted particles. If the hydrodynamic fields of pressure, temperature and flow velocity would be know at the boundaries, that is, if Dirichlet boundary conditions for all relevant macroscopic fields are assumed, the injected and extracted particles can be drawn from a probability distribution function [1].

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Robust event-driven particle tracking in complex geometries

Cited by 6 publications

References 40 publications

Efficient Lagrangian particle tracking algorithms for distributed-memory architectures

Efficient Lagrangian particle tracking algorithms for distributed-memory architectures

Simulation of catalytic reactions in open-cell foam structures

Simulation of reactive flows using particle methods

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