This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
SEA Models To Predict Structureborne Noise In Vehicles
Technical Paper
2003-01-1542
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Statistical energy analysis models are often used to predict vehicle noise. These models are generally successful at high frequencies, above 500 Hz, where transmission of airborne noise from the vehicle exterior to the interior is the dominant source of noise. At mid-and low frequencies the noise transmitted by structureborne paths becomes more important. SEA models can be extended to study both airborne and structureborne noise transmission in this frequency range. The modeling is more complex, however, because of the variety of structural wave types and the spatial irregularity of structural parameters. This paper presents the techniques required to develop SEA models for predicting structureborne noise in vehicles. Particular attention is given to the calculation of modal densities and coupling factors in the mid-frequency range from 100 to 500 Hz. Attention is also given to the calculation of the statistical variance of the SEA prediction. Inclusion of the variance prediction allows SEA models to be used over a broad range of frequencies.
Recommended Content
Citation
Manning, J., "SEA Models To Predict Structureborne Noise In Vehicles," SAE Technical Paper 2003-01-1542, 2003, https://doi.org/10.4271/2003-01-1542.Also In
SAE 2003 Transactions Journal of Passenger Cars - Mechanical Systems
Number: V112-6; Published: 2004-09-15
Number: V112-6; Published: 2004-09-15
References
- Lyon R.H. DeJong R.G. Theory and Application of Statistical Energy Analysis 2nd Butterworth-Heinemann Boston 1994
- DeJong R.G. “A Study of Vehicle Interior Noise Using Statistical Energy Analysis,” SAE Paper 850960 1985
- DeJong, R.G. “Overview of Statistical Energy Analysis,” SAE SEA Workshop 2001
- Onsay T. “Automotive SEA,” SAE SEA Workshop 2001
- Powell R. E. “Automotive Applications of Analytical SEA,” SAE SEA Workshop 2001
- Parrett A. “Statistical Energy Analysis: Test Based Models,” SAE SEA Workshop 2001
- Moeller M. et al “A Novel Approach to Statistical Energy Analysis Model Validation,” SAE Paper 951328 1995
- SEAM 3.0 Users Manual Cambridge Collaborative, Inc. Cambridge, Massachusetts 1996