Abstract

The hybrid finite element method and statistical energy method was used to study the vibro-acoustic coupling characteristics of an engineering vehicle cab. The parameters of the statistical energy method, such as modal densities, damping loss factors and coupling loss factors of substructures, were acquired by numerical and analytical methods. The acoustic-structure coupling of the cab was established based on the modal densities of substructures. The vibration and noise excitations of the cab were measured by test and the sound pressure level response of the driver’s ear was predicted. It was shown that the prediction results based on the hybrid method are in agreement with the experiments and the proposed method can be applied to predict the mid-frequency response of complex vibro-acoustic coupling systems with a moderate computational cost and accuracy.

Highlights

  • At present, the dynamic response of the structure-acoustic problem can be predicted by the deterministic or statistical methods

  • The purpose of the present contribution was to predict the structure-acoustic response of an engineering machinery cab firstly based on the hybrid FE-statistical energy analysis (SEA) method in the mid-frequency range

  • The cab mounting system is supported with four symmetric mounts: left front mount (L-F), right front mount (R-F), left rear mount (L-R) and right rear mount (R-R)

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Summary

Introduction

The dynamic response of the structure-acoustic problem can be predicted by the deterministic or statistical methods. Deterministic methods, such as boundary element method (BEM) [1, 2] and finite element method (FEM) [3, 4], are usually applied to low-frequency range due to the prohibitive calculational cost. The purpose of the present contribution was to predict the structure-acoustic response of an engineering machinery cab firstly based on the hybrid FE-SEA method in the mid-frequency range.

Theory of the hybrid FE-SEA method
Parameters of the hybrid model
Description of the structural-acoustic system
Modeling of the cab based on the hybrid model
Excitations of the hybrid cab model
Results analysis
Conclusions
Full Text
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