Multi-dimensional rheology-based two-phase model for sediment transport and applications to sheet flow and pipeline scour

泥沙输移 机械 湍流 两相流 流量(数学) 雷诺数 沉积物 粘度 岩土工程 物理 地质学 地貌学 量子力学
作者
Cheng-Hsien Lee,Ying Min Low,Yee‐Meng Chiew
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:28 (5) 被引量:95
标识
DOI:10.1063/1.4948987
摘要

Sediment transport is fundamentally a two-phase phenomenon involving fluid and sediments; however, many existing numerical models are one-phase approaches, which are unable to capture the complex fluid-particle and inter-particle interactions. In the last decade, two-phase models have gained traction; however, there are still many limitations in these models. For example, several existing two-phase models are confined to one-dimensional problems; in addition, the existing two-dimensional models simulate only the region outside the sand bed. This paper develops a new three-dimensional two-phase model for simulating sediment transport in the sheet flow condition, incorporating recently published rheological characteristics of sediments. The enduring-contact, inertial, and fluid viscosity effects are considered in determining sediment pressure and stresses, enabling the model to be applicable to a wide range of particle Reynolds number. A k − ε turbulence model is adopted to compute the Reynolds stresses. In addition, a novel numerical scheme is proposed, thus avoiding numerical instability caused by high sediment concentration and allowing the sediment dynamics to be computed both within and outside the sand bed. The present model is applied to two classical problems, namely, sheet flow and scour under a pipeline with favorable results. For sheet flow, the computed velocity is consistent with measured data reported in the literature. For pipeline scour, the computed scour rate beneath the pipeline agrees with previous experimental observations. However, the present model is unable to capture vortex shedding; consequently, the sediment deposition behind the pipeline is overestimated. Sensitivity analyses reveal that model parameters associated with turbulence have strong influence on the computed results.

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
林冰完成签到 ,获得积分10
刚刚
Orange应助zzzzzzz采纳,获得10
1秒前
vungocbinh完成签到,获得积分10
2秒前
2秒前
3秒前
小高完成签到 ,获得积分10
3秒前
3秒前
4秒前
北极星发布了新的文献求助10
6秒前
所所应助缪乾采纳,获得10
6秒前
JamesPei应助uraylong采纳,获得10
7秒前
打打应助苗小鱼采纳,获得10
7秒前
kirisaki发布了新的文献求助10
7秒前
zhang005on发布了新的文献求助10
8秒前
ya完成签到,获得积分10
8秒前
Tperm完成签到,获得积分10
9秒前
我要去江湖完成签到,获得积分20
10秒前
英俊的铭应助王哈哈哈哈采纳,获得10
12秒前
敏感的化蛹完成签到,获得积分20
12秒前
13秒前
zhang005on完成签到,获得积分10
13秒前
CipherSage应助大方大船采纳,获得10
13秒前
无风风发布了新的文献求助10
14秒前
FashionBoy应助shw采纳,获得10
16秒前
18秒前
谨慎的炳完成签到,获得积分10
18秒前
烟花应助Proxac采纳,获得10
19秒前
19秒前
cool完成签到 ,获得积分10
21秒前
善学以致用应助是达达哦采纳,获得10
21秒前
22秒前
Ava应助dcdhz采纳,获得10
22秒前
24秒前
缪乾发布了新的文献求助10
24秒前
慕青应助cwy采纳,获得10
25秒前
乐乐应助搞怪天真采纳,获得10
25秒前
Jasper应助姜哥弗里曼采纳,获得10
25秒前
27秒前
兴奋以蓝发布了新的文献求助10
28秒前
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Superabsorbent Polymers: Synthesis, Properties and Applications 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
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 6351744
求助须知:如何正确求助?哪些是违规求助? 8166253
关于积分的说明 17185930
捐赠科研通 5407801
什么是DOI,文献DOI怎么找? 2862981
邀请新用户注册赠送积分活动 1840543
关于科研通互助平台的介绍 1689612