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A comparative validation of concepts for collision algorithms for stochastic particle tracking

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ImpressumAachen : Publikationsserver der RWTH Aachen University

Umfang17 S.

Online
URN: urn:nbn:de:hbz:82-opus-50435
URL: https://publications.rwth-aachen.de/record/230043/files/5043.pdf

Einrichtungen

  1. Lehrstuhl für Wärme- und Stoffübertragung (412610)

Inhaltliche Beschreibung (Schlagwörter)
Mehrphasenströmung (Genormte SW) ; Disperse Phase (Genormte SW) ; Numerische Strömungssimulation (Genormte SW) ; Ingenieurwissenschaften (frei) ; Collision algorithms (frei) ; stochastic parcel method (frei) ; particle-laden flows (frei) ; validation (frei)

Thematische Einordnung (Klassifikation)
DDC: 620

Kurzfassung
Long-standing concerns about the accuracy of stochastic particle collision algorithms in Monte Carlo simulations have given rise to hybrid collision algorithms, which incorporate ideas from deterministic collision calculations in order to improve the realism of the collision calculation. Some hybrid collision algorithms have spread across commercial and research computational fluid dynamics codes without prior validation. The current work focuses on the predicted incidence of collision, using mathematical analyses and computational tests to validate the stochastic and hybrid concepts. Employing simplified cases permits direct mathematical evaluation of the accuracy of the candidate algorithms. Results indicate that hybrid collision algorithms fail if the predicted collision probability does not scale proportionally to the collision cross-section, relative velocity, number of computational particles and computational time-step. Based on these findings, a general guideline for proper hybridization of deterministic collision algorithms is given. Following these guidelines, hybrid collision algorithms are as accurate as stochastic collision algorithms, with some specific benefits and disadvantages.

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Dokumenttyp
Preprint

Format
online

Sprache
English

Interne Identnummern
RWTH-CONV-010489
Datensatz-ID: 230043

Beteiligte Länder
Germany

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412610

 Record created 2014-07-16, last modified 2022-04-22


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