An improved implicit direct-forcing immersed boundary method (DF-IBM) around arbitrarily moving rigid structures

物理 浸入边界法 强迫(数学) 机械 边界(拓扑) 经典力学 数学分析 大气科学 数学
作者
Elias Farah,Abdellatif Ouahsine,Patrick G. Verdin
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:36 (10) 被引量:2
标识
DOI:10.1063/5.0231218
摘要

An improved implicit direct-forcing immersed boundary method (DF-IBM) is presented for simulating incompressible flows around complex rigid structures undergoing arbitrary motion. The current approach harnesses the pressure implicit with splitting of operators algorithm to handle the fluid–solid system's dual constraints in a segregated manner. As a result, the divergence-free condition is preserved throughout the Eulerian domain, and the no-slip velocity boundary condition is exactly enforced on the immersed boundary. A new pressure Poisson equation (PPE) is derived, incorporating the boundary force where the no-slip condition is already met, enabling the use of fast iterative PPE solvers without modifications. The improvement involves integrating Lagrangian weight methods having better reciprocity over the IBM-related linear operators with the implicit formulation. An additional force initialization scheme is introduced to further boost the algorithm's performance. The method's accuracy, efficiency, and capability are verified through various stationary and moving immersed boundary cases. The results are validated against experimental and numerical data from the literature. The proposed improvements seamlessly integrate into existing incompressible fluid solvers with minimal adjustments to the original system equations, highlighting their ease of implementation.
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
1秒前
羞涩的诗柳完成签到,获得积分10
1秒前
小太阳完成签到,获得积分10
1秒前
3秒前
山谷发布了新的文献求助50
3秒前
3秒前
5秒前
冷静完成签到,获得积分10
6秒前
范泽关注了科研通微信公众号
6秒前
小小鸟发布了新的文献求助10
6秒前
RS6发布了新的文献求助10
6秒前
7秒前
10秒前
11秒前
Akim应助saowuren采纳,获得10
12秒前
KK完成签到,获得积分20
12秒前
kktwo应助优秀夏天采纳,获得10
12秒前
12秒前
留胡子的莫茗完成签到,获得积分10
15秒前
搜集达人应助逃避行采纳,获得50
15秒前
星辰大海应助蔡宇滔采纳,获得10
16秒前
越凡发布了新的文献求助10
16秒前
贾先生发布了新的文献求助10
17秒前
lllqqq发布了新的文献求助10
19秒前
20秒前
21秒前
22秒前
23秒前
KK关注了科研通微信公众号
23秒前
23秒前
23秒前
24秒前
ViVi水泥要干喽完成签到 ,获得积分10
25秒前
Leo发布了新的文献求助10
25秒前
Leo发布了新的文献求助10
25秒前
25秒前
25秒前
小丑羊完成签到,获得积分10
25秒前
26秒前
27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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
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 7638018
求助须知:如何正确求助?哪些是违规求助? 9211365
关于积分的说明 19758586
捐赠科研通 7204977
什么是DOI,文献DOI怎么找? 3275778
关于科研通互助平台的介绍 2437385
邀请新用户注册赠送积分活动 2272936