针对内燃机进气系统需良好的低频消声效果而可用空间有限的问题,研究多个消声器串联后的声学特性。基于共振消声器集中参数模型,推导消声器串联后系统主消声频率公式并验证。结果表明,双共振消声器串联系统有两主消声频率,即小于、大于...针对内燃机进气系统需良好的低频消声效果而可用空间有限的问题,研究多个消声器串联后的声学特性。基于共振消声器集中参数模型,推导消声器串联后系统主消声频率公式并验证。结果表明,双共振消声器串联系统有两主消声频率,即小于、大于下端消声器的偏频;增加体积比时较小的接近偏频,较大的远离偏频;长度比等于1、面积比小于等于1时串联系统所需体积小。串联系统消声器结构参数均相同时主消声频率个数与消声器个数相同。基于此,对某商用车进气系统进行降噪设计,使200 Hz以内的传声损失整体提高约5 d B。展开更多
Modal identification involves estimating the modal parameters, such as modal frequencies, damping ratios, and mode shapes, of a structural system from measured data. Under the condition that noisy impulse response sig...Modal identification involves estimating the modal parameters, such as modal frequencies, damping ratios, and mode shapes, of a structural system from measured data. Under the condition that noisy impulse response signals associated with multiple input and output locations have been measured, the primary objective of this study is to apply the local or global noise removal technique for improving the modal identification based on the polyreference time domain (PTD) method. While the traditional PTD method improves modal parameter estimation by over-specifying the computational model order to absorb noise, this paper proposes an approach using the actual system order as the computational model order and rejecting much noise prior to performing modal parameter estimation algorithms. Two noise removal approaches are investigated: a "local" approach which removes noise from one signal at a time, and a "global" approach which removes the noise of multiple measured signals simultaneously. The numerical investigation in this article is based on experimental measurements from two test setups: a cantilever beam with 3 inputs and 10 outputs, and a hanged plate with 4 inputs and 32 outputs. This paper demonstrates that the proposed noise-rejection method outperforms the traditional noise-absorption PTD method in several crucial aspects.展开更多
文摘针对内燃机进气系统需良好的低频消声效果而可用空间有限的问题,研究多个消声器串联后的声学特性。基于共振消声器集中参数模型,推导消声器串联后系统主消声频率公式并验证。结果表明,双共振消声器串联系统有两主消声频率,即小于、大于下端消声器的偏频;增加体积比时较小的接近偏频,较大的远离偏频;长度比等于1、面积比小于等于1时串联系统所需体积小。串联系统消声器结构参数均相同时主消声频率个数与消声器个数相同。基于此,对某商用车进气系统进行降噪设计,使200 Hz以内的传声损失整体提高约5 d B。
基金supported by the National Natural Science Foundation of China (Grant Nos. 51079134 and 51009124)the NSFC Major International Joint Research Project (Grant No. 51010009)+2 种基金the Program for Changjiang Scholars and Innovative Research Team in University (Grant No. PCSIRT 1086)the Natural Science Foundation of Shandong Province(Grant Nos. ZR2011EEQ022 and 2009ZRA05100)the Fundamental Research Funds for the Central Universities (Grant Nos. 27R1202008A and27R1002076A)
文摘Modal identification involves estimating the modal parameters, such as modal frequencies, damping ratios, and mode shapes, of a structural system from measured data. Under the condition that noisy impulse response signals associated with multiple input and output locations have been measured, the primary objective of this study is to apply the local or global noise removal technique for improving the modal identification based on the polyreference time domain (PTD) method. While the traditional PTD method improves modal parameter estimation by over-specifying the computational model order to absorb noise, this paper proposes an approach using the actual system order as the computational model order and rejecting much noise prior to performing modal parameter estimation algorithms. Two noise removal approaches are investigated: a "local" approach which removes noise from one signal at a time, and a "global" approach which removes the noise of multiple measured signals simultaneously. The numerical investigation in this article is based on experimental measurements from two test setups: a cantilever beam with 3 inputs and 10 outputs, and a hanged plate with 4 inputs and 32 outputs. This paper demonstrates that the proposed noise-rejection method outperforms the traditional noise-absorption PTD method in several crucial aspects.
