论文标题
TBL诱导的能量传输到在基于云的Python-FE环境中计算的双壁背式外壳系统
TBL-induced energy transmission into a double wall backed enclosure system computed in a cloud-based Python-FE environment
论文作者
论文摘要
我们提出了一个完全耦合的数值模型，以预测在基于云的Python环境中计算出的有限元元素（FE）框架中双壁背式外壳系统的湍流边界层（TBL）诱导的能量传输行为。 Goody单点壁压光谱和Corcos空间相关函数用于生成TBL交叉动力光谱。 Mindlins一阶剪切变形模型是针对面板的，并且使用FE方法开发了完全耦合的TBL结构 - 声学模型，以预测机柜内部内部的声电水平，以便面板之间的可变间隙距离。该模型的开发方式是为了捕获正性层层序列，频率依赖性结构阻尼的贡献，以及预测能量传输到双壁式背面的外壳方面的僵硬方向。因此，提出了一个新的数值模型，该模型可以使设计人员具有更精确的能量传输量化，并且在面板叶子的数量，几何形状和外壳系统的边界条件方面具有更大的灵活性，并由由各向同性或正交层板层制成的双层壁支持。
We propose a fully coupled numerical model to predict turbulent boundary layer (TBL) induced energy transmission behavior for a double-wall backed enclosure system in a finite element (FE) framework computed in cloud-based Python environment. Goody single point wall-pressure spectrum and Corcos spatial correlation function are used to generate the TBL cross-power spectra. Mindlins first order shear deformation model is considered for the panels and a fully coupled TBL-structure-acoustic model is developed using the FE approach to predict the acoustic power level inside the enclosure for variable gap distance between the panels. The model is developed in a way to capture the contribution of orthotropic lamina sequence, frequency-dependent structural damping, and stiffening orientation in predicting the energy transmission into a double-wall backed enclosure. Thus, a new numerical model is presented that enables the designers with more precise energy transmission quantification with greater flexibility in terms of the number of panel leaves, geometry, and boundary conditions of the enclosure system, backed by double wall made of isotropic or orthotropic laminates.
