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 dynamic coupling scheme for fluid system by combining lattice Boltzmann method and molecular dynamics

格子Boltzmann方法 统计物理学 联轴节(管道) 水电站模型 物理 方案(数学) 复杂流体 分子动力学 计算机科学 机械 材料科学 数学 数学分析 量子力学 雷诺数 湍流 冶金
作者
Yuqing Wang,Wenning Zhou
出处
期刊:International Journal of Modern Physics C [World Scientific]
卷期号:36 (02)
标识
DOI:10.1142/s012918312450178x
摘要

The coupling of numerical methods in different scales is of great significance in the investigation of intricate multiscale phenomena. This work develops a dynamic coupling approach based on domain decomposition by combining the mesoscale lattice Boltzmann method (LBM) and microscale molecular dynamics (MD) simulations. In the proposed scheme, a two-way concurrent exchange of information between different scales has been achieved. At the atomistic scale, the fluid dynamics are modeled through the particle-based MD method on the framework of the open large-scale atomic/molecular massively parallel simulator (LAMMPS). While at the coarse scale, the fluid system is simulated utilizing the LBM approach, which relies on the collision and streaming of the particles constrained in discretized lattices, adhering to the conservation laws of mass and momentum. The exchange of velocity distributions between the two scales was handled. The accuracy and efficiency of the proposed coupling scheme were validated through simulations of the classic Poiseuille and Couette flows. The obtained results show that satisfactory agreement against pure MD results has been achieved. Moreover, a notable improved efficiency as high as 92.8% has been observed for the coupling scheme in comparison to MD simulations. Due to the inherent parallelism of LBM and MD, the proposed coupling scheme exhibits great potential for extended application in studying complex multiscale phenomena with dynamic coupling between different scales.

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
文献文发布了新的文献求助10
4秒前
上官若男应助文献文采纳,获得10
15秒前
ChocolatChaud完成签到,获得积分10
28秒前
46秒前
天真友绿发布了新的文献求助10
52秒前
summerlore完成签到,获得积分10
1分钟前
天真友绿发布了新的文献求助10
1分钟前
1分钟前
1分钟前
随机昵称完成签到,获得积分10
1分钟前
随机昵称发布了新的文献求助10
1分钟前
天真友绿完成签到,获得积分20
1分钟前
ding应助科研通管家采纳,获得10
1分钟前
JamesPei应助科研通管家采纳,获得30
1分钟前
1分钟前
人生HCQ发布了新的文献求助10
1分钟前
sun完成签到 ,获得积分10
1分钟前
嘿嘿完成签到 ,获得积分10
2分钟前
JUll完成签到,获得积分10
2分钟前
小二郎应助王静怡采纳,获得10
2分钟前
希望天下0贩的0应助Nian采纳,获得10
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
俞俊敏发布了新的文献求助10
3分钟前
王静怡发布了新的文献求助10
3分钟前
3分钟前
思源应助王静怡采纳,获得10
3分钟前
脑洞疼应助科研通管家采纳,获得10
3分钟前
爆米花应助科研通管家采纳,获得10
3分钟前
caca完成签到,获得积分0
4分钟前
4分钟前
obedVL完成签到,获得积分10
4分钟前
4分钟前
4分钟前
Nian发布了新的文献求助10
4分钟前
4分钟前
二舅司机发布了新的文献求助10
4分钟前
尊敬的萝莉完成签到,获得积分10
4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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 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 6371638
求助须知:如何正确求助?哪些是违规求助? 8185288
关于积分的说明 17271304
捐赠科研通 5426013
什么是DOI,文献DOI怎么找? 2870534
邀请新用户注册赠送积分活动 1847432
关于科研通互助平台的介绍 1694042