[en] Granular multiparticle ensembles are of interest from fundamental statistical viewpoints as well as
for the understanding of collective processes in industry and in nature. Extraction of physical data from optical observations of three-dimensional (3D) granular ensembles poses considerable problems. Particle-based tracking is possible only at low volume fractions, not in clusters. We apply shadow- based and feature-tracking methods to analyze the dynamics of granular gases in a container with vibrating side walls under microgravity. In order to validate the reliability of these optical analysis methods, we perform numerical simulations of ensembles similar to the experiment. The simulation output is graphically rendered to mimic the experimentally obtained images. We validate the output of the optical analysis methods on the basis of this ground truth information. This approach provides insight in two interconnected problems: the confirmation of the accuracy of the simulations and
the test of the applicability of the visual analysis. The proposed approach can be used for further investigations of dynamical properties of such media, including the granular Leidenfrost effect, granular cooling, and gas-clustering transitions.
Disciplines :
Physics
Author, co-author :
Puzyrev, Dmitry; Otto von Guericke University > Instute of Physics
Fischer, David; Otto von Guericke University > Institute of Physics
Harth, Kirsten; Otto von Guericke University > Institute of Physics
Trittel, Torsten; Otto von Guericke University > Institute of Physics
Cruz Hidalgo, Raul; Universidad de Navarra > Facultad de Ciencias
Falcon, Eric; Université Paris Diderot - Paris 7 > Matière et Systèmes Complexes
Noirhomme, Martial ; Université de Liège - ULiège > Département de physique > Physique statistique
Opsomer, Eric ; Université de Liège - ULiège > Département de physique > Physique statistique
Vandewalle, Nicolas ; Université de Liège - ULiège > Département de physique > Physique statistique
Garrabos, Yves; Centre National de la Recherche Scientifique - CNRS
Lecoutre, Carole; Centre National de la Recherche Scientifique - CNRS
Palencia, Fabien; Centre National de la Recherche Scientifique - CNRS
Stannarius, Ralf; Otto von Guericke University > Institute of Physics
Visual analysis of density and velocity profiles in dense 3D granular gases
Publication date :
2021
Journal title :
Scientific Reports
eISSN :
2045-2322
Publisher :
Nature Publishing Group, London, United Kingdom
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
ASE - Agence Spatiale Européenne DLR - Deutsches Zentrum für Luft- und Raumfahrt CNES - Centre National d'Études Spatiales ERDF - European Regional Development Fund
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