Scaling laws for planetary sediment transport from DEM-RANS numerical simulations

雷诺平均Navier-Stokes方程 泥沙输移 缩放比例 物理 标度律 统计物理学 环境科学 地质学 法学 机械 沉积物 地貌学 湍流 几何学 数学 政治学
作者
Thomas Pähtz,Orencio Duŕan
出处
期刊:Cornell University - arXiv
标识
DOI:10.48550/arxiv.2203.00562
摘要

We use an established discrete element method (DEM) Reynolds-averaged Navier--Stokes (RANS)-based numerical model to simulate non-suspended sediment transport across conditions encompassing almost seven orders of magnitude in the particle--fluid density ratio $s$, ranging from subaqueous transport ($s=2.65$) to aeolian transport in the highly rarefied atmosphere of Pluto ($s=10^7$), whereas previous DEM-based sediment transport studies did not exceed terrestrial aeolian conditions ($s\approx2000$). Guided by these simulations and by experiments, we semi-empirically derive simple scaling laws for the cessation threshold and rate of equilibrium aeolian transport, both exhibiting a rather unusual $s^{1/3}$-dependence. They constitute a simple means to make predictions of aeolian processes across a large range of planetary conditions. The derivation consists of a first-principle-based proof of the statement that, under relatively mild assumptions, the cessation threshold physics is controlled by only one dimensionless control parameter, rather than two expected from dimensional analysis. Crucially, unlike existing models, this proof does not resort to coarse-graining the particle phase of the aeolian transport layer above the bed surface. From the pool of existing models, only that by Pähtz et al. (\textit{J. Geophys. Res. Earth. Surf.}~126, e2020JF005859, 2021) is somewhat consistent with the combined numerical and experimental data. It captures the scaling of the cessation threshold and the $s^{1/3}$-dependence of the transport rate, but fails to capture the latter's superimposed grain size dependence. This hints at a lack of understanding of the transport rate physics and calls for future studies on this issue.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
清爽的采萱完成签到,获得积分10
1秒前
1秒前
抹缇卡完成签到 ,获得积分10
2秒前
JY完成签到,获得积分10
2秒前
jscshoping发布了新的文献求助10
2秒前
2秒前
珍珠爱学习完成签到,获得积分10
2秒前
3秒前
午夜小菜鸟完成签到,获得积分10
3秒前
4秒前
啦啦啦发布了新的文献求助10
5秒前
5秒前
6秒前
liushuang_发布了新的文献求助10
6秒前
ikyrie1110完成签到,获得积分10
7秒前
爱唱狐狸的番茄小子完成签到,获得积分10
8秒前
麒麟完成签到,获得积分10
8秒前
8秒前
Serendipity完成签到,获得积分10
9秒前
年年发布了新的文献求助20
9秒前
yy湫发布了新的文献求助10
10秒前
10秒前
淡淡凡霜发布了新的文献求助10
11秒前
ZeKaWa应助六百六十六采纳,获得10
12秒前
13秒前
13秒前
Vans完成签到,获得积分10
14秒前
14秒前
内向的书雁给龙猫抱枕的求助进行了留言
14秒前
15秒前
15秒前
科研通AI6.4应助louis采纳,获得10
16秒前
义气白开水完成签到,获得积分10
17秒前
sharkmelon应助echo采纳,获得10
18秒前
十一发布了新的文献求助10
19秒前
木の子发布了新的文献求助30
20秒前
joysa完成签到,获得积分10
20秒前
stlibhgq应助小郑不睡觉采纳,获得10
20秒前
Rainyin应助小郑不睡觉采纳,获得20
20秒前
21秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6491842
求助须知:如何正确求助?哪些是违规求助? 8289629
关于积分的说明 17688814
捐赠科研通 5583248
什么是DOI,文献DOI怎么找? 2915157
邀请新用户注册赠送积分活动 1892265
关于科研通互助平台的介绍 1750146