عنوان مقاله [English]
The cabin of a road vehicle contains multiple noise sources, which can be airborne or structure-borne. These sources include the transmission, engine, tire and road contact noise, aerodynamics noise, and more. The noise in the cabin can significantly affect passenger comfort. Therefore, it is crucial to have an accurate vibroacoustic model for analyzing and controlling vibrations. However, creating a simulation that closely reflects reality using a finite element model is highly complex. This complexity stems from the large number of degrees of freedom in the model, which requires significant computational resources for simulation. To overcome these challenges, various model order reduction (MOR) techniques for linear or nonlinear models have been developed. MOR has two approaches: projection data-based and equivalent model energy-based. In this paper, we utilize two MOR methods to simulate a reduced coupled model. The first method is based on the Krylov subspace method, which uses projection bases to reduce the large linear model. The second method is the modal coupling method, which uses the mode shape of the model to create a reduced model. Finally, we compare the pressure and displacement of the reduced model to the model at different frequency spectra.