Abstract Well-designed thin lightweight fabrics can effectively replace bulky porous materials traditionally used in sound absorption. In this paper, a method based on Johnson-Champoux-Allard (JCA) model and multiple regression is proposed to predict the sound absorption effect of woven fabrics. Detailed 3D geometric models are built for a set of woven samples. Multiple regression method is conducted to obtain the empirical formulae of the parameters required by the JCA model, such as geometric tortuosity, flow resistivity, and porosity. Experimental results from the impedance tube test agree well with the numerical predictions.

中文翻译：

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一种预测机织物吸声能力的经验模型

摘要 精心设计的轻薄织物可以有效替代传统上用于吸声的笨重多孔材料。本文提出了一种基于Johnson-Champoux-Allard(JCA)模型和多元回归的方法来预测机织物的吸声效果。为一组编织样品构建了详细的 3D 几何模型。通过多元回归方法得到JCA模型所需参数的经验公式，如几何曲率、流阻、孔隙度等。阻抗管测试的实验结果与数值预测非常吻合。