Kinetic Simulation of Turbulent Multifluid Flows

解算器 离散化 格子Boltzmann方法 计算机科学 湍流 机械 多相流 雷诺数 计算流体力学 计算科学 统计物理学 物理 数学 数学分析 程序设计语言
作者
Wei Li,Kui Wu,Mathieu Desbrun
出处
期刊:ACM Transactions on Graphics [Association for Computing Machinery]
卷期号:43 (4): 1-17
标识
DOI:10.1145/3658178
摘要

Despite its visual appeal, the simulation of separated multiphase flows (i.e., streams of fluids separated by interfaces) faces numerous challenges in accurately reproducing complex behaviors such as guggling, wetting, or bubbling. These difficulties are especially pronounced for high Reynolds numbers and large density variations between fluids, most likely explaining why they have received comparatively little attention in Computer Graphics compared to single- or two-phase flows. In this paper, we present a full LBM solver for multifluid simulation. We derive a conservative phase field model with which the spatial presence of each fluid or phase is encoded to allow for the simulation of miscible, immiscible and even partially-miscible fluids, while the temporal evolution of the phases is performed using a D3Q7 lattice-Boltzmann discretization. The velocity field, handled through the recent high-order moment-encoded LBM (HOME-LBM) framework to minimize its memory footprint, is simulated via a velocity-based distribution stored on a D3Q27 or D3Q19 discretization to offer accuracy and stability to large density ratios even in turbulent scenarios, while coupling with the phases through pressure, viscosity, and interfacial forces is achieved by leveraging the diffuse encoding of interfaces. The resulting solver addresses a number of limitations of kinetic methods in both computational fluid dynamics and computer graphics: it offers a fast, accurate, and low-memory fluid solver enabling efficient turbulent multiphase simulations free of the typical oscillatory pressure behavior near boundaries. We present several numerical benchmarks, examples and comparisons of multiphase flows to demonstrate our solver's visual complexity, accuracy, and realism.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
03完成签到,获得积分10
1秒前
1秒前
小明完成签到,获得积分10
1秒前
HPP123完成签到,获得积分10
1秒前
1秒前
chenyunxia发布了新的文献求助10
2秒前
没写名字233完成签到 ,获得积分10
3秒前
3秒前
3秒前
孙刚发布了新的文献求助10
3秒前
ty发布了新的文献求助10
3秒前
xing525888完成签到,获得积分20
3秒前
十月完成签到 ,获得积分10
3秒前
桐桐应助blueming采纳,获得10
4秒前
4秒前
4秒前
wanci应助小怪兽采纳,获得10
5秒前
孙晓燕完成签到 ,获得积分10
6秒前
灰灰灰发布了新的文献求助10
7秒前
万能图书馆应助欢--采纳,获得10
7秒前
无私诗桃完成签到,获得积分10
7秒前
xing525888发布了新的文献求助10
7秒前
7秒前
wangjie发布了新的文献求助10
8秒前
64658应助聪慧冰淇淋采纳,获得10
8秒前
8秒前
8秒前
张秉环完成签到 ,获得积分10
9秒前
英吉利25发布了新的文献求助10
10秒前
传奇3应助caixiayin采纳,获得30
10秒前
星辰大海应助奋斗的宛亦采纳,获得10
10秒前
Karry完成签到 ,获得积分10
11秒前
11秒前
12秒前
nqyKOj发布了新的文献求助20
12秒前
JamesPei应助HYI采纳,获得10
12秒前
myj发布了新的文献求助10
12秒前
欣欣完成签到,获得积分10
13秒前
Lucifer完成签到,获得积分10
13秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Handbook of Marine Craft Hydrodynamics and Motion Control, 2nd Edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3987021
求助须知:如何正确求助?哪些是违规求助? 3529365
关于积分的说明 11244629
捐赠科研通 3267729
什么是DOI,文献DOI怎么找? 1803932
邀请新用户注册赠送积分活动 881223
科研通“疑难数据库(出版商)”最低求助积分说明 808635