A New Minimization Quantity for Global Active Structural / Acoustic Control
全局主动结构/声学控制的新最小化量
基本信息
- 批准号:1130482
- 负责人:
- 金额:$ 34.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-10-01 至 2014-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The research objective of this award is to develop an active noise control method that senses and controls a structure in a manner that minimizes acoustic radiation. There are numerous applications where it is desirable to reduce noise radiated from vibrating structures into an enclosed acoustic field, such as a vehicle cabin. The research builds on a newly developed measure of vibration that is referred to as composite velocity. The use of standard vibration measurements for active control systems does not result in a minimization of acoustic radiation, since the structural vibration and the radiated power are not directly correlated. However, composite velocity is directly correlated with acoustic radiation. Furthermore, the composite velocity is quite uniform across the structure, making the method less sensitive to sensor location. These properties will be exploited in complex structures, and the method will be developed for structures including ribbed plates and cylindrical shells, which are typical for important applications such as vehicles and aircraft fuselages.If successful, the results of this research will provide a compact, efficient solution for reducing noise exposure in numerous applications, such as vehicle cabins (automobiles, locomotive engines, and heavy equipment cabins) as well as aircraft cabins. The advantage of this active control approach is that there is little sensitivity to sensor location (meaning the sensor can largely be placed wherever convenient), the system is compact, and the method achieves global reduction of the enclosed sound field. This will result in improved communication, increased comfort, reduced noise fatigue, and improved safety for vehicle occupants. Graduate and undergraduate science and engineering students will benefit through involvement in the research and classroom instruction based on the research. Results will be disseminated to the scientific community, allowing others to explore and further develop the method, as well as providing opportunities for commercial development.
该奖项的研究目标是开发一种主动噪声控制方法,以最小化声辐射的方式感知和控制结构。有许多应用需要减少从振动结构辐射到封闭声场的噪声,例如车辆舱室。这项研究建立在一种新开发的振动测量方法上,这种方法被称为复合速度。主动控制系统使用标准振动测量不能使声辐射最小化,因为结构振动和辐射功率并不直接相关。而复合速度与声辐射直接相关。此外,复合速度在整个结构上相当均匀,使得该方法对传感器位置不太敏感。这些特性将在复杂结构中得到利用,该方法将用于包括肋板和圆柱壳在内的结构,这些结构在车辆和飞机机身等重要应用中是典型的。如果成功,这项研究的结果将提供一个紧凑,有效的解决方案,以减少噪音暴露在许多应用中,如车辆舱室(汽车,机车发动机和重型设备舱室)以及飞机舱室。这种主动控制方法的优点是对传感器位置的敏感性很小(这意味着传感器基本上可以放在任何方便的地方),系统紧凑,并且该方法实现了封闭声场的全局减小。这将改善通信,增加舒适性,减少噪音疲劳,并提高车辆乘员的安全性。研究生和本科理工科学生将通过参与研究和基于研究的课堂教学而受益。结果将传播给科学界,使其他人能够探索和进一步发展这种方法,并为商业发展提供机会。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Scott Sommerfeldt其他文献
Scott Sommerfeldt的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Scott Sommerfeldt', 18)}}的其他基金
Development of a Vibration-based Acoustic Sound Power Measurement Method
基于振动的声学声功率测量方法的开发
- 批准号:
1916696 - 财政年份:2019
- 资助金额:
$ 34.2万 - 项目类别:
Standard Grant
Acoustical and Structural Energy Based Methods to Minimize Acoustic Radiation
基于声学和结构能的方法来最小化声辐射
- 批准号:
0826554 - 财政年份:2008
- 资助金额:
$ 34.2万 - 项目类别:
Standard Grant
Development of Acoustic Energy Concepts to Characterize and Control Acoustic Fields
发展声能概念来表征和控制声场
- 批准号:
0409319 - 财政年份:2004
- 资助金额:
$ 34.2万 - 项目类别:
Continuing Grant
相似海外基金
INTEGRATED, CIRCULAR, AND DIGITALLY SUPPORTED SUSTAINABLE SOLUTIONS FOR WASTE MINIMIZATION AND CARBON CAPTURE IN BUILDINGS AND THE CONSTRUCTION SECTOR
综合、循环和数字化支持的可持续解决方案,用于建筑物和建筑行业的废物最小化和碳捕获
- 批准号:
10080639 - 财政年份:2023
- 资助金额:
$ 34.2万 - 项目类别:
EU-Funded
Stochastic majorization--minimization algorithms for data science
随机主化——数据科学的最小化算法
- 批准号:
DP230100905 - 财政年份:2023
- 资助金额:
$ 34.2万 - 项目类别:
Discovery Projects
Modelling and minimization of energy use in 5G networks
5G 网络中能源使用的建模和最小化
- 批准号:
2891953 - 财政年份:2023
- 资助金额:
$ 34.2万 - 项目类别:
Studentship
INTEGRATED, CIRCULAR, AND DIGITALLY SUPPORTED SUSTAINABLE SOLUTIONS FOR WASTE MINIMIZATION AND CARBON CAPTURE IN BUILDINGS AND THE CONSTRUCTION SECTOR
综合、循环和数字化支持的可持续解决方案,用于建筑物和建筑行业的废物最小化和碳捕获
- 批准号:
10080694 - 财政年份:2023
- 资助金额:
$ 34.2万 - 项目类别:
EU-Funded
Information theoretical elucidation of the delay minimization problem in the communication
通信中时延最小化问题的信息论阐释
- 批准号:
23K03851 - 财政年份:2023
- 资助金额:
$ 34.2万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Collaborative Research: AMPS: Robust Failure Probability Minimization for Grid Operational Planning with Non-Gaussian Uncertainties
合作研究:AMPS:具有非高斯不确定性的电网运行规划的鲁棒故障概率最小化
- 批准号:
2229408 - 财政年份:2022
- 资助金额:
$ 34.2万 - 项目类别:
Standard Grant
Intraoperative pharmacologic opioid minimization strategies and patient-centred outcomes after surgery: a scoping review
术中阿片类药物最小化策略和术后以患者为中心的结果:范围界定审查
- 批准号:
465334 - 财政年份:2022
- 资助金额:
$ 34.2万 - 项目类别:
Operating Grants
Continuous caster mould digital twin development for fluid flow control and sliver defect minimization
用于流体流量控制和条子缺陷最小化的连铸机模具数字孪生开发
- 批准号:
560338-2020 - 财政年份:2022
- 资助金额:
$ 34.2万 - 项目类别:
Alliance Grants
Regularity of minimizers and pattern formation in geometric minimization problems
几何最小化问题中最小化器的正则性和模式形成
- 批准号:
RGPIN-2018-06295 - 财政年份:2022
- 资助金额:
$ 34.2万 - 项目类别:
Discovery Grants Program - Individual
Contaminant Minimization for Safer Drinking Water
最大限度地减少污染物以获得更安全的饮用水
- 批准号:
RGPIN-2020-06173 - 财政年份:2022
- 资助金额:
$ 34.2万 - 项目类别:
Discovery Grants Program - Individual