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首页> 外文期刊>The Journal of the Acoustical Society of America >Prediction of the acoustical performance of enclosures using ahybrid statistical energy analysis: Image source model
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Prediction of the acoustical performance of enclosures using ahybrid statistical energy analysis: Image source model

机译：使用混合统计能量分析预测外壳的声学性能：图像源模型

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摘要

Enclosures are commonly used to reduce the sound exposure of workers to the noise radiated bymachinery. Some acoustic predictive tools ranging from simple analytical tools to sophisticatednumerical deterministic models are available to estimate the enclosure acoustical performance.However, simple analytical models are usually valid in limited frequency ranges because ofunderlying assumptions whereas numerical models are commonly limited to low frequencies. Thispaper presents a general and simple model for predicting the acoustic performance of largefree-standing enclosures which is capable of taking into account the complexity of the enclosureconfiguration and covering a large frequency range. It is based on the statistical energy analysis(SEA) framework. The sound field inside the enclosure is calculated using the method of imagesources. Sound transmission across the various elements of the enclosure is considered in the SEAformalism. The model is evaluated by comparison with existing methods and experimental results.The effect of several parameters such as enclosure geometry, panel materials, presence of noisecontrol treatments, location of the source inside the enclosure, and presence of an opening has beeninvestigated. The comparisons between the model and the experimental results show a goodagreement for most of the tested configurations.
机译：外壳通常用于减少工人在机械辐射下的声音。从简单的分析工具到复杂的数字确定性模型，都可以使用一些声学预测工具来估算外壳的声学性能。但是，由于存在基础假设，因此简单的分析模型通常在有限的频率范围内有效，而数值模型通常限于低频。本文提出了一种通用的简单模型，用于预测大型独立式音箱的声学性能，该模型能够考虑到音箱配置的复杂性并覆盖较大的频率范围。它基于统计能量分析（SEA）框架。外壳内部的声场是使用imagesources方法计算的。在SEAformalism中考虑了声音在外壳各个元素之间的传播。通过与现有方法和实验结果的比较来评估该模型。已研究了几个参数的影响，例如外壳的几何形状，面板材料，噪声控制处理的存在，源在外壳内的位置以及开口的存在。模型与实验结果之间的比较表明，对于大多数测试配置而言，它都具有良好的一致性。

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