Enhanced sloshing control using novel shaped baffle

物理 晃动动力学 迷惑 机械 经典力学 航空航天工程 热力学 工程类
作者
Ussama Ali,Changhong Hu,Tarek N. Dief,Mohamed M. Kamra
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:37 (8) 被引量:1
标识
DOI:10.1063/5.0276237
摘要

Liquid sloshing in partially filled tanks poses significant challenges in various engineering applications, including transportation, aerospace, and maritime industries. Traditional baffle designs, primarily oriented in either the vertical or horizontal direction, have shown limitations in suppressing sloshing efficiently. This study introduces a novel Tree-shaped baffle, designed to enhance energy dissipation and mitigate sloshing more effectively. This design integrates both vertical and horizontal elements to disrupt wave propagation and reduce dynamic pressure fluctuations on tank walls. Its performance is systematically compared to that of a Plus-shaped baffle to evaluate relative effectiveness under surge excitation. A numerical approach was employed to evaluate the performance of the proposed baffles. Computational fluid dynamics simulations were conducted in OpenFOAM using the volume-of-fluid method to accurately capture the free surface dynamics. Simulations were performed across three filling levels and two excitation frequencies corresponding to fe/f1 = 1 and 2. The results demonstrate that both baffle types effectively suppress free surface wave height and reduce dynamic wall forces, with the Tree baffle consistently outperforming the Plus baffle. The Tree baffle reduces maximum wall forces by 36.3% and wave heights by 28.1% at 50% filling at resonant condition. Detailed analyses of time histories, hydrodynamic pressure, force responses, and interface contours reveal that the Tree baffle's branched geometry disrupts wave motion more effectively, enhances energy dissipation, and reduces sloshing-induced loads. These findings highlight the potential of novel baffle designs for improving the stability and safety of fluid containment systems under dynamic loading.
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
LONG发布了新的文献求助10
刚刚
1秒前
1秒前
1秒前
崔哈哈发布了新的文献求助10
1秒前
2秒前
2秒前
malele发布了新的文献求助30
3秒前
糊涂的冰旋完成签到,获得积分10
3秒前
小马甲应助只昂张采纳,获得10
5秒前
yuanyuan完成签到,获得积分10
5秒前
脑洞疼应助坚强的笑天采纳,获得10
5秒前
清脆臻发布了新的文献求助20
6秒前
端庄雨兰完成签到,获得积分20
6秒前
7秒前
可爱灵安发布了新的文献求助10
7秒前
Owen应助123采纳,获得10
7秒前
北北发布了新的文献求助10
8秒前
科研通AI6.1应助Petrichor采纳,获得10
8秒前
林兰特完成签到,获得积分10
9秒前
科研通AI6.4应助浮一大白采纳,获得10
9秒前
9秒前
万能图书馆应助Qing采纳,获得10
9秒前
10秒前
陈翔发布了新的文献求助10
10秒前
11秒前
碧海流花完成签到,获得积分10
11秒前
zhb发布了新的文献求助10
12秒前
自信的雨泽完成签到,获得积分10
12秒前
鳗鱼醉柳完成签到 ,获得积分10
13秒前
vvvg完成签到,获得积分20
14秒前
NexusExplorer应助可爱灵安采纳,获得10
14秒前
漂亮的灭龙完成签到,获得积分10
15秒前
酷炫的毛巾完成签到,获得积分10
15秒前
杨江丽发布了新的文献求助10
15秒前
15秒前
jerome711关注了科研通微信公众号
15秒前
Walden5441发布了新的文献求助30
15秒前
明理的问柳完成签到,获得积分10
15秒前
Taozi发布了新的文献求助10
16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
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Hemispherical Resonator Gyro: Status Report and Test Results 800
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
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 6382320
求助须知:如何正确求助?哪些是违规求助? 8194537
关于积分的说明 17323350
捐赠科研通 5435937
什么是DOI,文献DOI怎么找? 2875142
邀请新用户注册赠送积分活动 1851812
关于科研通互助平台的介绍 1696405