Turbidity currents propagating down an inclined slope: particle auto-suspension
Jiafeng Xie, Peng Hu, Chenlin Zhu, Zhaosheng Yu, Thomas P\"ahtz

TL;DR
This study uses advanced simulation techniques to analyze how particles suspend and move within turbidity currents on inclined slopes, revealing key factors influencing auto-suspension and current propagation.
Contribution
It introduces a coupled large-eddy simulation and discrete element model to investigate auto-suspension mechanisms in turbidity currents from a Lagrangian perspective, highlighting effects of particle concentration and slope.
Findings
Auto-suspension particles are mainly near the current head and vary during evolution.
Auto-suspension particle Reynolds number remains stable and higher than other particles.
Higher particle concentration enhances current speed and auto-suspension capacity.
Abstract
The Turbidity current (TC), a ubiquitous fluid-particle coupled phenomenon in the natural environment and engineering, can transport over long distances on an inclined terrain due to the suspension mechanism. A large-eddy simulation and discrete element method coupled model is employed to simulate the particle-laden gravity currents over the inclined slope in order to investigate the auto-suspension mechanism from a Lagrangian perspective. The particle Reynolds number in our TC simulation is and the slope angle is . The influences of initial particle concentration and terrain slope on the particle flow regimes, particle movement patterns, fluid-particle interactions, energy budget and auto-suspension index are explored. The results indicate that the auto-suspension particles predominantly appear near the current head and their number increases and then…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
