  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.
