Identification of Internal Loss Factors During Statistical Energy Analysis of Automotive Vehicles 931300
Statistical Energy Analysis (SEA) is a useful tool for predicting the transmission of noise and vibration through the structures of automotive vehicles. This work discusses the identification of SEA internal loss factor parameters from experimental measurements of vehicle sound pressure levels and structural accelerations. A simple automotive vehicle SEA model can be constructed from elements idealized as uniform beams, flat plates and acoustic volumes. Such an SEA automotive vehicle model can accurately predict the vibro-acoustic response of an automotive vehicles when appropriate equivalent SEA parameters are identified from in situ experimental data. This paper will present an algorithm for identifying internal loss factors for SEA models. The paper will include an example of the application of the algorithm to identification of automotive vehicle internal loss factors from measured vehicle response data. The spectral characteristics of these identified internal loss factors will be compared to those typically employed in Statistical Energy Analysis.
Citation: Radcliffe, C. and Huang, X., "Identification of Internal Loss Factors During Statistical Energy Analysis of Automotive Vehicles," SAE Technical Paper 931300, 1993, https://doi.org/10.4271/931300. Download Citation
Author(s):
C. J. Radcliffe, X. L. Huang
Affiliated:
Michigan State Univ.
Pages: 8
Event:
Noise & Vibration Conference & Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Proceedings of the 1993 Noise and Vibration Conference-P-264
Related Topics:
Identification
Mathematical models
Acoustics
Transmissions
Vibration
Noise
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