This paper proposes a strategy to broaden the sound absorption region of porous materials by embedding ribs. The theoretical solution and the numerical simulations of the optimization model show that the composite metastructure exhibits ultra-wide high absorption characteristics and an average sound absorption coefficient of 0.937 in the 0–10 kHz range upon its teaching-learning-based optimization. High sound pressures are present only among the embedded ribs. A significant slowing down of the sound takes place inside the metastructure. The impedance tube test confirms the design of the broadband sound absorption region in agreement with the teaching-learning-based optimization method.

中文翻译：

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在0-10 kHz宽带吸声范围内，基于教学的复合元结构优化。

本文提出了一种通过嵌入肋来拓宽多孔材料的吸声区域的策略。理论模型的求解和优化模型的数值模拟表明，基于教学学习的优化，复合材料的超结构具有超宽的高吸收特性，在0-10 kHz范围内的平均吸声系数为0.937。高声压仅在嵌入的肋之间存在。声音的明显变慢发生在元结构内部。阻抗管测试证实了宽带吸声区域的设计与基于教学学习的优化方法相一致。