空气处理柜的统计能量分析仿真

IF 1.3 4区 医学 Q3 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Matt Smither, D. Herrin
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引用次数: 0

摘要

统计能量分析(SEA)是一种适用于高模态密度系统的振动声学建模技术。传统上,SEA用于预测系统在较高频段的响应。然而,对于像空气处理器这样包含大型平板金属板的系统,SEA的用途也延伸到中低频段。空气处理柜的测量结果是通过在空间上平均由激振器向柜体一侧输入白噪声引起的柜体表面加速度得到的。来自机柜每个子面板的能量与输入能量的面板进行归一化,以便与建模数据进行比较。在VA One软件中处理的空气处理柜简化模型的结果与测量结果的误差一般在10 dB以内。由于机柜的几何形状和结构,实现了一些较低的频带限制。这些结果主要集中在结构上,而较少关注空气处理柜的声学体积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical energy analysis simulation of an air-handling cabinet
Statistical energy analysis (SEA) is a vibro-acoustic modeling technique suitable for systems where high modal densities exist. Traditionally SEA is used for predicting system response in higher frequency bands. However, for systems such as an air-handler that contain large, flat panels constructed of sheet metal the usefulness of SEA stretches into mid and lower frequency bands as well. Measured results of an air-handling cabinet were obtained by spatially averaging accelerations of cabinet surfaces caused by an input of white noise into the cabinet side by a shaker. Energy from each sub-panel of the cabinet was normalized with the panel into which the energy was input for easy comparison with modeled data. A simplified model of the air-handling cabinet processed in VA One software yielded results generally within 10 dB of measured results. Some lower frequency band limitations were realized due to cabinet geometry and construction. These results focus primarily on the structure and less so on the acoustic volume of the air-handling cabinet.
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来源期刊
Noise & Health
Noise & Health AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY-PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
CiteScore
2.10
自引率
14.30%
发文量
27
审稿时长
6-12 weeks
期刊介绍: Noise and Health is the only International Journal devoted to research on all aspects of noise and its effects on human health. An inter-disciplinary journal for all professions concerned with auditory and non-auditory effects of occupational, environmental, and leisure noise. It aims to provide a forum for presentation of novel research material on a broad range of topics associated with noise pollution, its control and its detrimental effects on hearing and health. It will cover issues from basic experimental science through clinical evaluation and management, technical aspects of noise reduction systems and solutions to environmental issues relating to social and public health policy.
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