On the Self-Noise Reduction of Acoustic Treatments

声学处理的自降噪

基本信息

批准号：
571690-2021
负责人：
Rocha, JoanaJL
金额：
$ 4.37万
依托单位：
Carleton University
依托单位国家：
加拿大
项目类别：
Alliance Grants
财政年份：
2022
资助国家：
加拿大
起止时间：
2022-01-01 至 2023-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=759494
关键词：
Self Noise Reduction Acoustic Treatments

项目摘要

The main research objectives of the proposed project are the acoustic characterization and modification of the wind tunnel at Carleton University, followed by testing of the various acoustic treatments and materials for self-noise assessment. The first phase of the project will involve measurements of the wind tunnel acoustic performance. The requirements for the acoustic performance improvements will be developed based on the self-noise levels required for aeroacoustic wind tunnels. Simultaneous computation fluid dynamics analyses will be conducted to determine the likely compromises to the aerodynamic performance of the wind tunnel. This phase of the work will conclude with background noise measurements to confirm the effect of modifications to the circuit. Wind tunnel background noise will be determined at several operating wind speeds. During the second phase of the project, various candidate surface treatments will be installed on the test section floor and measurements of self-noise will be made over a range of wind speeds. Materials with different porosity, morphology, patterns and thickness levels will be investigated. The degree of sound attenuation at different frequencies will be examined. Measured data will be processed and analyzed to demonstrate the capabilities for several treatments. It is anticipated that results from this project will lead to the development of a new generation of wind tunnels and unconventional surface treatments.

拟议项目的主要研究目标是卡尔顿大学风洞的声学表征和修改，然后测试各种声学处理和自我噪声评估的材料。该项目的第一阶段将涉及测量风洞的声学性能。声学性能改进的要求将根据空气风隧道所需的自噪声水平制定。将进行同时计算流体动力学分析，以确定风隧道空气动力学性能的可能折衷。这项工作的阶段将以背景噪声测量结果结束，以确认修改对电路的影响。风洞背景噪声将在几个操作风速下确定。在项目的第二阶段中，将在测试部分地板上安装各种候选表面处理，并将在一系列风速上进行自我噪声的测量。将研究具有不同孔隙率，形态，图案和厚度水平的材料。将检查以不同频率的声音衰减程度。测量数据将进行处理和分析，以证明多种治疗的能力。预计该项目的结果将导致新一代风隧道和非常规的表面处理的发展。