Solid–fluid force modeling: Insights from comparing a reduced order model for a pair of particles with resolved CFD-DEM-Reference-Cited by-同舟云学术

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Solid–fluid force modeling: Insights from comparing a reduced order model for a pair of particles with resolved CFD-DEM

Published:2024-08 Issue: Volume:178 Page:104882
ISSN:0301-9322
Container-title:International Journal of Multiphase Flow
language:en
Short-container-title:International Journal of Multiphase Flow

Author:

Barbeau Lucka,Étienne Stéphane,Béguin Cédric^ORCID,Blais Bruno^ORCID

Publisher

Elsevier BV

Reference54 articles.

1. TensorFlow: Large-scale machine learning on heterogeneous systems;Abadi,2015

2. Pairwise-interaction extended point-particle model for particle-laden flows;Akiki;J. Comput. Phys.,2017

3. Unsteady motion of two solid spheres in Stokes flow;Ardekani;Phys. Fluids,2006

4. The deal.II library, version 9.4;Arndt;J. Numer. Math.,2022

5. Pair of particles sedimentation ROM;Barbeau,2023

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