Prediction of Sound Radiation from Submerged Cylindrical Shell Based on Dominant Modes

声学 声功率 流离失所(心理学) 辐射 情态动词 叠加原理 振动 壳体(结构) 正常模式 声音(地理) 模态分析 辐射阻抗 物理 光学 工程类 材料科学 土木工程 心理学 量子力学 心理治疗师 高分子化学
作者
Chao Zhang,Sihui Li,Dejiang Shang,Yuyuan Han,Yuyang Shang
出处
期刊:Applied sciences [Multidisciplinary Digital Publishing Institute]
卷期号:10 (9): 3073-3073 被引量:9
标识
DOI:10.3390/app10093073
摘要

A sound radiation calculation method by using dominant modes is proposed to predict the sound radiation from a cylindrical shell. This method can provide an effective way to quickly predict the sound radiation of the structure by using as few displacement monitoring points as possible on the structure surface. In this paper, modal analyses of a submerged cylindrical shell are carried out by taking the vibration mode of a cylindrical shell in a vacuum, as a set of orthogonal bases. The modal sound radiation efficiency and modal contributions to sound radiation power are presented, and comparison results show that a few modes dominantly contribute to the sound radiation power at low frequencies. These modes, called dominantly radiated structural modes in this paper, are applied to predict the sound radiation power of submerged cylindrical shells by obtaining the modal participant coefficients and sound radiation efficiency of these dominant modes. Aside from the orthogonal decomposition method, a method of solving displacement modal superposition equations is proposed to extract the modal participant coefficients, because few modes contribute to the vibration displacement near the resonant frequencies. Some simulations of cylindrical shells with different boundaries are conducted, and the number of measuring points required are examined. Results show that this method, based on dominant modes, can well predict the low-frequency sound radiation power of submerged cylindrical shells. In addition, compared with the boundary element method, this method can better reduce the number of required measuring points significantly. The data of these important modes can be saved, which can help to predict the low-frequency sound radiation of the same structure faster in the future.
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
田様的应助被fresh采纳,获得10
刚刚
1秒前
zhao发布了新的文献求助10
3秒前
风雨完成签到,获得积分10
3秒前
lll发布了新的文献求助10
4秒前
六六发布了新的文献求助10
4秒前
崩莎卡拉卡完成签到,获得积分10
7秒前
LaTeXer的应助被keith采纳,获得10
8秒前
9秒前
Aypnia完成签到,获得积分10
11秒前
沉默的涔完成签到 ,获得积分10
12秒前
orixero的应助被凶狠的飞凤采纳,获得10
12秒前
心雨发布了新的文献求助30
14秒前
科研通AI6.2的应助被小栗子采纳,获得10
14秒前
Qiao完成签到 ,获得积分10
15秒前
老的火龙果的应助被静_采纳,获得10
20秒前
科目三的应助被唐唐的猫咪采纳,获得10
20秒前
Criminology34的应助被HHH采纳,获得10
21秒前
22秒前
22秒前
蜗牛也是牛完成签到,获得积分10
22秒前
23秒前
cyx完成签到 ,获得积分10
24秒前
25秒前
Hello琪琪完成签到,获得积分10
26秒前
Patience发布了新的文献求助10
27秒前
28秒前
fuguier发布了新的文献求助10
28秒前
28秒前
学术蝗虫完成签到,获得积分10
29秒前
29秒前
科研通AI6.2的应助被房产中介采纳,获得10
29秒前
隐形挑战者完成签到,获得积分10
30秒前
词词完成签到,获得积分10
30秒前
32秒前
潜伏完成签到,获得积分10
32秒前
33秒前
33秒前
寰宇完成签到,获得积分10
33秒前
wy发布了新的文献求助10
34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
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Issues in Task-Based Language Teaching 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7783638
求助须知:如何正确求助?哪些是违规求助? 9322927
关于积分的说明 20392349
捐赠科研通 7372274
什么是DOI,文献DOI怎么找? 3320727
关于科研通互助平台的介绍 2468728
邀请新用户注册赠送积分活动 2336951