研究RESEARCH研究专题RESEARCH TOPIC
管道声学与声衬阻抗Duct Acoustics and Liner Impedance
科学问题QUESTION
如何描述复杂管道中的声音传播,并从有流测量中推断声衬阻抗?
How can sound propagation in complex ducts be modelled and liner impedance inferred under grazing flow?
研究方法METHOD
一条路线以阻抗连接有限元与统计能量子系统;另一条路线将有限元数据与混合神经网络结合,用于声衬阻抗推断。
One route couples finite-element and statistical-energy subsystems through impedance; another combines finite-element data with a mixed neural network for liner impedance eduction.
验证证据EVIDENCE
变截面管道方法包含消声室实验验证;阻抗推断方法使用不同声衬模型及 NASA 实验数据评估。
The variable-section duct method includes anechoic-chamber validation. Impedance eduction is evaluated with multiple liner models and NASA experimental data.
我们如何研究How we investigate
将耦合界面动态缩聚为单自由度阻抗,连接确定性有限元与统计能量子系统,并开展消声室实验验证。
基于有限元生成训练数据,使用混合神经网络反演声衬阻抗,并以不同声衬模型及 NASA 实验数据评估方法。
Dynamic condensation of the coupling interface to a single-degree-of-freedom impedance connects finite-element and statistical-energy subsystems, with experimental validation in an anechoic chamber.
Finite-element training data and a mixed neural network enable liner impedance eduction, evaluated with multiple liner models and NASA experimental data.
计算与分析图像Computational evidence

