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Development of sound-quality indexes in a car cabin owing to the acoustic characteristics of absorption materials

机译:由于吸收材料的声学特性,车厢中的音质指标得以发展

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摘要

This study presents a method to predict the quality of sound in a car cabin when the acoustic characteristics of absorption materials in a car are changed. We proposed a signal processing model based on an acoustic ray tracing method to predict the variation of interior car cabin sounds corresponding to changes in the acoustic absorption material attached to the sidewall of the engine room of a virtual car. The interior sounds corresponding to seven different acoustic materials were simulated using this model and were recorded inside of a virtual car. The predicted interior sound was compared with the recorded interior sound. The recorded interior sounds were used to develop a sound quality index estimating the variation of sound quality owing to the change in acoustic materials. The sound quality index was developed in terms of sound metrics correlated with subjective evaluation of the recorded interior sounds. The sound metrics were investigated based on psychoacoustic parameters and the acoustic properties of the absorption materials. Finally, the proposed method was validated with real car by experiments. The proposed method can be used for the prediction of the variation of sound quality of interior sound owing to changes in the acoustic materials at the early car-design stage and thus aid in the selection of the optimal acoustic material in view of car weight reduction. (C) 2018 Elsevier Ltd. All rights reserved.
机译:这项研究提出了一种在汽车吸收材料的声学特性发生变化时预测车厢内声音质量的方法。我们提出了一种基于声线追踪方法的信号处理模型,以预测与附着在虚拟汽车的发动机室侧壁上的吸声材料的变化相对应的内部车厢声音的变化。使用此模型模拟了与七种不同声学材料相对应的内部声音,并将其记录在虚拟汽车内部。将预测的内部声音与录制的内部声音进行比较。记录的内部声音用于建立声音质量指数,以估计由于声学材料的变化而导致的声音质量变化。声音质量指标是根据与记录的室内声音的主观评估相关的声音指标制定的。根据心理声学参数和吸收材料的声学特性研究了声音指标。最后,通过实验验证了该方法的有效性。所提出的方法可以用于预测由于在早期的汽车设计阶段中声学材料的变化而引起的内部声音的音质变化,因此从减轻汽车重量的角度出发,有助于选择最佳的声学材料。 (C)2018 Elsevier Ltd.保留所有权利。

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