亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

A resolved CFD–DEM investigation on granular sand sedimentation considering realistic particle shapes

沉积作用 CFD-DEM公司 粒子(生态学) 计算流体力学 粒状材料 地质学 岩土工程 机械 材料科学 地貌学 物理 沉积物 海洋学
作者
Gaoyang Hu,Bo Zhou,Zhihao Shen,Huabin Wang,Wenbo Zheng
出处
期刊:Geotechnique [ICE Publishing]
卷期号:75 (9): 1179-1191 被引量:18
标识
DOI:10.1680/jgeot.24.01060
摘要

In this study, a resolved framework coupling computational fluid dynamics (CFD) with the discrete-element method (DEM) is proposed to simulate the sedimentation of granular sand. Realistic sand particles were reconstructed by spherical harmonic representation combined with the multi-sphere clump method, and a fictitious domain method for irregular clumps was further developed to solve the fluid–particle interaction. This resolved CFD–DEM offers a direct and robust approach for computing real fluid forces on irregular-shaped granular sands, without relying on any empirical drag force models. Initially, the effectiveness and accuracy of the proposed CFD–DEM were validated through a series of single-particle free settling simulations for various ideal-shaped particles. Critical fluid–particle interacting behaviours in terms of drag force and wake structure were mainly investigated and corroborated with experimental data. The study subsequently progressed to simulate the sedimentation processes of various granular sand assemblies composed of realistic-shaped sand particles, utilising the proposed CFD–DEM. Detailed numerical analyses concentrated on particle-scale mechanics during sedimentation, including settling trajectories and velocities of particles, as well as the coordination and anisotropy of inter-particle contacts. The results and findings gained from this study provide a novel insight into the micro-mechanisms underlying the sedimentation and accumulation process of granular soils in geological environments.
最长约 10秒,即可获得该文献文件

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
虚心十三发布了新的文献求助10
4秒前
bkagyin应助蜜桃吐司采纳,获得10
5秒前
善良的汉堡完成签到 ,获得积分10
17秒前
23秒前
29秒前
31秒前
淡淡的思天完成签到,获得积分10
31秒前
Wsssss完成签到,获得积分10
32秒前
谦恩完成签到 ,获得积分10
33秒前
单身的曲奇完成签到,获得积分10
33秒前
34秒前
36秒前
38秒前
41秒前
44秒前
46秒前
xunuo完成签到,获得积分10
51秒前
1分钟前
ddg完成签到,获得积分10
1分钟前
1分钟前
orixero应助艳子采纳,获得10
1分钟前
ddg发布了新的文献求助10
1分钟前
仁爱帆布鞋完成签到,获得积分10
1分钟前
成就苞络完成签到,获得积分10
1分钟前
筑梦之鱼完成签到,获得积分10
1分钟前
1分钟前
ksfh完成签到,获得积分10
1分钟前
英俊的铭应助胡呵呵采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
蓦然发布了新的文献求助10
1分钟前
pups发布了新的文献求助10
1分钟前
胡呵呵发布了新的文献求助10
1分钟前
want_top_journal完成签到,获得积分10
1分钟前
清爽小凡完成签到,获得积分10
1分钟前
搜集达人应助蓦然采纳,获得10
1分钟前
我能私信骂你吗应助pups采纳,获得10
1分钟前
科研通AI6.2应助pups采纳,获得10
1分钟前
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
Nine new races of Peronospora manshurica found on soybeans in the Midwest 1000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Eudora Welty and Modern Media 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7772407
求助须知:如何正确求助?哪些是违规求助? 9314740
关于积分的说明 20339679
捐赠科研通 7357753
什么是DOI,文献DOI怎么找? 3316910
关于科研通互助平台的介绍 2465439
邀请新用户注册赠送积分活动 2331934