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  5. Modeling Phase Separation in Grain‐Fluid Mixture Flows by a Depth‐Averaged Approach With Dilatancy Effects
 
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2024
Zweitveröffentlichung
Artikel
Verlagsversion

Modeling Phase Separation in Grain‐Fluid Mixture Flows by a Depth‐Averaged Approach With Dilatancy Effects

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Hauptpublikation
JGRF_JGRF22033.pdf
CC BY 4.0 International
Format: Adobe PDF
Size: 2.65 MB
TUDa URI
tuda/12982
URN
urn:nbn:de:tuda-tuprints-290253
DOI
10.26083/tuprints-00029025
Autor:innen
Sun, Weihang ORCID 0000-0003-0662-4191
Wang, Yongqi ORCID 0000-0003-1292-0384
Kurzbeschreibung (Abstract)

In this work, we propose a comprehensive two‐layer depth‐averaged model to study the dynamic behavior of grain‐fluid mixtures, which considers the granular dilatancy effects and the different frictional rheologies of grains in different states. Unlike single‐phase flows, not only the interaction between granular and fluid phases significantly influence the dynamics of mixtures, but also the phase separation, so that different flow regimes can occur. These include five different possible regimes: two‐layer regimes of (a) under‐saturated mixture and (b) over‐saturated mixture as well as single‐layer regimes of (c) saturated mixture, (d) pure grains and (e) pure fluid. Most depth‐averaged models in previous studies have considered only one of these flow regimes. The present model is an improved and integrated version of these depth‐averaged models. Taking into account that the pure grains and pure fluid in the upper layer, which occur in the regimes of the under‐saturated and over‐saturated grain‐fluid mixtures, respectively, exhibit different flow features than in the lower layer of the saturated mixture, we use a two‐phase two‐layer depth‐averaged model to describe these regimes. This proposed model is possibly the first to employ a two‐layer structure to describe all possible different flow regimes simultaneously. The proposed model is then solved numerically using a high‐resolution central‐upwind scheme and shows its ability to handle different flow regimes. To demonstrate the robustness of the numerical implementation and to evaluate the performance of the model, the numerical results are compared with several experiments reported in the literature, showing a certain qualitative agreement.

Freie Schlagworte

grain‐fluid mixture f...

phase separation

dilatancy effect

granular or fluid mas...

depth‐averaged approa...

granular rheological ...

Sprache
Englisch
Alternatives Abstract

Debris flows are moving mixtures of grains and fluid. Phase separation between grains and fluid is a significant feature in grain-fluid mixture flows, leading to different flow regimes during their dynamic motion, such as fluid-saturated, over-saturated, under-saturated granular mixtures, as well as pure fluid and pure granular regimes. A model is essential to comprehensively describe the emergence, transition, and disappearance of these different flow regimes. Most models in previous studies include only one flow regime and cannot describe the different flow regimes and their transition. In this study, we propose a two-layer depth-averaged model to simultaneously consider all possible flow regimes and their dynamic transition. This two-layer depth-averaged model can qualitatively describe experimental results and is promising for the study of natural geophysical flows in the future.

Fachbereich/-gebiet
16 Fachbereich Maschinenbau > Fachgebiet für Strömungsdynamik (fdy)
DDC
500 Naturwissenschaften und Mathematik > 530 Physik
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Institution
Universitäts- und Landesbibliothek Darmstadt
Ort
Darmstadt
Titel der Zeitschrift / Schriftenreihe
Journal of Geophysical Research: Earth Surface
Jahrgang der Zeitschrift
129
Heftnummer der Zeitschrift
12
ISSN
2169-9011
Verlag
Wiley
Ort der Erstveröffentlichung
Hoboken
Publikationsjahr der Erstveröffentlichung
2024
Verlags-DOI
10.1029/2023JF007416
PPN
527488984
Artikel-ID
e2023JF007416
Ergänzende Ressourcen (Forschungsdaten)
https://doi.org/10.48328/tudatalib-1619

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