Stable algorithm for event detection in event-driven particle dynamics: logical states

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

doi:10.1007/s40571-016-0106-7

Cited by 5 publications

(8 citation statements)

References 10 publications

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“…As the motion of each individual particle is obtainable analytically between these events, the scheme becomes event-driven, where each algorithmic step is a search for the next event. Reformulating the general tracking algorithm as a search for the next event has two benefits: First, recent improvements in the robustness of the event detection [30,31] can now be integrated directly into the particle tracking routine, which is discussed in the next section. Second, it allows the consistent extension of the algorithm to handle complex composite objects, which we explore further in Section 4.…”

Section: Event-driven Particle Trackingmentioning

confidence: 99%

“…Due to these difficulties, an alternative approach for handling intersections is taken. The concept of the logical state is introduced by the authors in a previous work [31] to distinguish captured and uncaptured square-well particles in EDPD. It is here applied to CSG modeling in order to determine whether a tracked particle is located within a given CSG primitive or not without relying on the relative position on the particle.…”

Section: Logical States For Particle Trackingmentioning

confidence: 99%

“…Several other publications [21][22][23][24][25][26][27] address this issue, yet the resulting algorithms are constructed without an underlying general formalism. The equivalent challenges for event detection algorithms in event-driven particle dynamics (EDPD) [28,29] as well as algorithmic solutions are presented by the authors in previous contributions [30,31]. Based on the equivalence of particle tracking and EDPD which is established in Section 2, the framework for event-driven tracking algorithms is introduced and an inherently robust yet computationally efficient tracking algorithm for unstructured meshes is derived in Section 3.…”

Section: Introductionmentioning

confidence: 99%

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Robust event-driven particle tracking in complex geometries

Strobl

Bannerman

Pöschel

2020

Computer Physics Communications

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, T. (Accepted/In press). Robust event-driven particle tracking in complex geometries. Computer Physics Communications. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. ? Users may download and print one copy of any publication from the public portal for the purpose of private study or research. ? You may not further distribute the material or use it for any profit-making activity or commercial gain ? You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

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Section: Event-driven Particle Trackingmentioning

confidence: 99%

Section: Logical States For Particle Trackingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Robust event-driven particle tracking in complex geometries

Strobl

Bannerman

Pöschel

2020

Computer Physics Communications

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“…They also affect the prediction of the positions of the colliding spheres at the time of impact, which results either in spheres overlapping or in positioning of spheres at a small distance from each other or from the wall, at the time of collision. The sphere overlapping case is extremely problematic [22,27], since the particles have numerically entered the infinite energy hard-core [27]. Errors resulting from → r ij ≥ R i + R j do not affect the stability of the algorithm.…”

Section: Sphere Collisionsmentioning

confidence: 99%

Three-Dimensional Digital Reconstruction of Ti2AlC Ceramic Foams Produced by the Gelcast Method

2019

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A digital reconstruction technique is presented that generates three-dimensional (3D) digital representations of ceramic foams created by the foam-gelcasting technique. The reconstruction process uses information that is directly extracted from Scanning Electron Microscopy (SEM) images and offers a 3D representation of the physical sample accounting for the typically large pore cavities and interconnecting windows that are formed during the preparation process. Contrary to typical tessellation-based foam treatments, a spherical representation of the pores and the pore windows of the foams is assumed and a novel hybrid algorithm that combines a variation of Lubachevsky-type and Random Close Packing of Hard Spheres (RCPHS) algorithms has been developed to obtain near-optimum solutions to the packing problem of the spheres that represent the pores. Numerical simulations are performed directly on the 3D reconstructed foams to determine their gas permeability. The model predictions are compared with experimental gas permeability data that were obtained for the physical samples. The pore wall thickness can be treated as the single fitting parameter in the entire reconstruction process, although it is shown that images of sufficient resolution could eliminate the need even for that. The foams that are produced by this method yield quantitatively similar pressure drops with experiments for various superficial velocity values, with a very small deviation in the range of 1.7–2.8%. The proposed methodology could be utilized for the prediction of the permeability and transport properties of complex foamy porous structures, similar to the gelcast-type of foams, from a single SEM image of the foam sample without resorting to serial tomography or other structural information, thus saving considerable time and effort from experimental work.

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“…Thus, the EDMD approach is more suitable for simulating discrete interaction potentials, with the ability to provide quantitative predictions [40], [41]. Fig.…”

Section: Event-driven Molecular Dynamics Overviewmentioning

confidence: 99%

A new approach to rapidly generate random periodic representative volume elements for microstructural assessment of high volume fraction composites

Sharifpour

Bahmani

et al. 2018

Materials & Design

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An algorithm based on event-driven molecular dynamics theory was developed to rapidly generate periodic representative volume elements (RVEs) with nonuniform distributions for both unidirectional fiber-reinforced and spherical particle-reinforced composites. Detailed statistical analyses were conducted for assessing the ability to generate RVEs with nonuniformly dispersed microstructures and either constant or random inclusion sizes for a wide range of volume fractions.The generated microstructures were directly compared with available microstructural optical images of a composite material, showing excellent statistical correlation and providing validation for the developed RVE generation approach. For further validation, finite element analysis was conducted using the generated RVEs in order to evaluate volume averaged elastic constants. The expected isotropic characteristics of the RVEs were correctly calculated, and excellent correlations with experimental data from the literature provided additional support for the algorithm accuracy. The versatile algorithm can rapidly generate RVEs with realistic reinforcement dispersions and high volume fractions up to 80%, which is advantageous compared to other algorithms. The proposed algorithm can be used as a design tool to accurately evaluate and tailor the mechanical properties of distinct composite material systems, and for their microstructural assessment including local damage predictions.

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Stable algorithm for event detection in event-driven particle dynamics: logical states

Cited by 5 publications

References 10 publications

Robust event-driven particle tracking in complex geometries

Robust event-driven particle tracking in complex geometries

Three-Dimensional Digital Reconstruction of Ti2AlC Ceramic Foams Produced by the Gelcast Method

A new approach to rapidly generate random periodic representative volume elements for microstructural assessment of high volume fraction composites

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