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
刚刚
陈秀娟发布了新的文献求助10
刚刚
wshuai发布了新的文献求助10
1秒前
天真铅笔发布了新的文献求助10
1秒前
Jase完成签到,获得积分10
1秒前
建成完成签到,获得积分10
2秒前
Lia完成签到,获得积分10
3秒前
4秒前
4秒前
5秒前
6秒前
6秒前
koka发布了新的文献求助10
8秒前
8秒前
不爱科研完成签到,获得积分10
8秒前
8秒前
安喽发布了新的文献求助10
9秒前
9秒前
9秒前
qj完成签到,获得积分10
10秒前
11秒前
12秒前
15秒前
科目三应助有魅力语梦采纳,获得10
15秒前
陈秀娟发布了新的文献求助10
16秒前
maowei发布了新的文献求助10
17秒前
自强不息完成签到,获得积分10
19秒前
充电宝应助Blackmamba采纳,获得10
20秒前
21秒前
学生白发布了新的文献求助10
22秒前
英姑应助科研通管家采纳,获得10
23秒前
Akim应助科研通管家采纳,获得10
24秒前
24秒前
赘婿应助科研通管家采纳,获得10
24秒前
woshi123应助科研通管家采纳,获得10
24秒前
江河发布了新的文献求助10
24秒前
xing_xing应助科研通管家采纳,获得20
24秒前
yexin发布了新的文献求助10
24秒前
wanci应助科研通管家采纳,获得10
24秒前
morena应助科研通管家采纳,获得20
24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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
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 7590749
求助须知:如何正确求助?哪些是违规求助? 9168090
关于积分的说明 19623845
捐赠科研通 7169677
什么是DOI,文献DOI怎么找? 3267406
关于科研通互助平台的介绍 2432220
邀请新用户注册赠送积分活动 2259595