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
1秒前
啦啦啦完成签到,获得积分20
3秒前
Criminology34应助米甜甜采纳,获得10
3秒前
3秒前
5秒前
像个间谍发布了新的文献求助10
5秒前
科研通AI6.4应助谦让馒头采纳,获得10
5秒前
7秒前
9秒前
10秒前
10秒前
zjcbk985发布了新的文献求助10
14秒前
14秒前
长风完成签到,获得积分10
14秒前
cdercder应助王东采纳,获得10
17秒前
大喵完成签到,获得积分10
18秒前
冷酷的友桃完成签到,获得积分10
18秒前
jianinghehe完成签到,获得积分10
18秒前
zjcbk985完成签到,获得积分10
19秒前
凡酒权发布了新的文献求助10
21秒前
21秒前
小蘑菇应助冷酷的友桃采纳,获得10
22秒前
sanshu发布了新的文献求助10
22秒前
23秒前
遥遥完成签到,获得积分10
25秒前
马一凡完成签到,获得积分10
26秒前
26秒前
27秒前
认真觅荷完成签到 ,获得积分10
28秒前
夕沫完成签到,获得积分10
28秒前
full发布了新的文献求助20
29秒前
科研通AI6.1应助zzy采纳,获得10
29秒前
隋阳完成签到 ,获得积分10
30秒前
CipherSage应助lljttljt采纳,获得20
31秒前
一颗糖炒栗子完成签到,获得积分10
33秒前
二三完成签到 ,获得积分10
33秒前
默茗发布了新的文献求助10
33秒前
竹子快跑完成签到 ,获得积分10
33秒前
34秒前
35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
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Matrix Methods in Data Mining and Pattern Recognition 510
Association of Reentry Well-Being with Psychological Distress, Employment, and Housing Instability 15-Months After Incarceration 500
Trees of tropical Asia : an illustrated guide to diversity 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7036379
求助须知:如何正确求助?哪些是违规求助? 8704321
关于积分的说明 18440187
捐赠科研通 6542104
什么是DOI,文献DOI怎么找? 3114855
关于科研通互助平台的介绍 2195757
邀请新用户注册赠送积分活动 2090068