The interplay of hydraulic gradients and migration of cohesive fines on clogging dynamics in a granular medium: a coupled CFD-DEM analysis

作者
Thao Doan,Buddhima Indraratna,Thanh Trung Nguyen,Cholachat Rujikiatkamjorn
出处
期刊:Powder Technology [Elsevier BV]
卷期号:486: 123228-123228
标识
DOI:10.1016/j.powtec.2026.123228
摘要

The migration and clogging of fine particles in granular media are governed by complex interactions between interparticle forces and hydraulic loading. This study investigates the coupled effects of cohesion and hydraulic gradients on fines infiltration using a CFD-DEM framework. Macroscopic responses are characterised using indicators such as infiltration ratio, spatial distribution of infiltrated particles, and deposition coefficients, while microscale mechanisms are examined through dynamic evolution of interparticle contacts and contact force networks. The numerical results are validated against experimental observations for both cohesionless and cohesive conditions, demonstrating the reasonable capability of the model to capture fines migration and clogging behaviour. The results show that particle infiltration evolves through three distinct stages including initialisation, development and stabilisation. Cohesion promotes particle clustering and the development of stable contact networks that favour clogging, whereas hydraulic forces can destabilise these structures to enhance particle mobilisation. The balance between these competing mechanisms governs the transition between surface clogging, internal blockage, and continuous infiltration regimes. Microscale analyses further reveal that cohesion strengthens fine–fine contact networks and promotes stronger force transmission, while increasing hydraulic gradients progressively weaken these networks and enhance particle mobility. Overall, the novelty of this study lies in the mechanistic insight into the interactive role of cohesive and hydraulic forces in controlling fines migration and clogging processes in granular media.

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
CipherSage的应助被dddd采纳,获得10
刚刚
刚刚
乐乐的应助被请按照采纳,获得10
刚刚
1秒前
1秒前
别梦寒发布了新的文献求助10
2秒前
斯文败类的应助被怀安采纳,获得10
2秒前
米线儿完成签到,获得积分10
2秒前
2秒前
赘婿的应助被清爽翩跹采纳,获得20
3秒前
3秒前
慕瓜完成签到,获得积分10
4秒前
4秒前
xiaoyaxxxx完成签到 ,获得积分10
4秒前
jayma完成签到,获得积分10
4秒前
lhhh完成签到,获得积分10
4秒前
喵呜完成签到,获得积分10
5秒前
好好好发布了新的文献求助10
5秒前
5秒前
6秒前
6秒前
ViVi水泥要干喽完成签到 ,获得积分10
6秒前
容易记发布了新的文献求助10
6秒前
肖龙新发布了新的文献求助10
7秒前
在水一方的应助被东起欧采纳,获得10
7秒前
田様的应助被瑜YX采纳,获得30
7秒前
kk发布了新的文献求助10
7秒前
付冬晴完成签到,获得积分10
8秒前
8秒前
yuM关闭了yuM的文献求助
8秒前
8秒前
UU完成签到,获得积分10
8秒前
迷路的问玉完成签到,获得积分10
9秒前
9秒前
9秒前
10秒前
10秒前
whaoe完成签到,获得积分10
10秒前
万能图书馆的应助被Sonder采纳,获得10
11秒前
Delight发布了新的文献求助10
11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
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
拉伸高分子熔体中缠结行为的模拟和小角中子散射研究 600
Cellulose and Cellulose Derivatives: Synthesis, Modification and Applications 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8141457
求助须知:如何正确求助?哪些是违规求助? 9541298
关于积分的说明 21645367
捐赠科研通 7725533
什么是DOI,文献DOI怎么找? 3421354
关于科研通互助平台的介绍 2546516
邀请新用户注册赠送积分活动 2463571