Interior High Frequency Noise Analysis of Heavy Vehicle Cab and Multi-Objective Optimization with Statistical Energy Analysis Method

2017 ◽  
Vol 16 (02) ◽  
pp. 1750017
Author(s):  
Shuming Chen ◽  
Lianhui Wang ◽  
Jiqang Song ◽  
Dengfeng Wang ◽  
Jing Chen
Keyword(s):  
Energy Analysis ◽  
Commercial Vehicle ◽  
Noise Analysis ◽  
Weighting Coefficient ◽  
Frequency Noise ◽  
Statistical Energy Analysis ◽  
Analysis Method ◽  
Multi Objective Optimization ◽  
Acoustic Performance ◽  
Multi Objective

The interior sound pressure levels of a commercial vehicle cab at the driver’s right ear position and head rest position are determined as evaluation indices of vehicle acoustic performances. A statistical energy analysis model of the commercial vehicle cab was created by using statistical energy analysis method. The simulated interior acoustic performance of the cab has a significant coincidence with the experimental results. A response surface model was presented to determine the relationship between sound package parameters and evaluation indices of the interior acoustic performance for the vehicle cab. A multi-objective optimization was performed by using NSGA II algorithm with weighting coefficient method. The presented method provides a new idea for the multi-objective optimization design of the acoustic performances in vehicle noise analysis and control field.

Probability Distribution of Statistical Energy Analysis Model Responses Due to Parameter Randomness

1998 ◽  
Vol 120 (3) ◽  
pp. 641-647 ◽  
Author(s):  
X. L. Huang ◽  
C. J. Radcliffe
Keyword(s):  
Probability Distribution ◽  
Energy Analysis ◽  
Hypothesis Test ◽  
Noise Analysis ◽  
Response Probability ◽  
Statistical Hypothesis ◽  
Design Parameters ◽  
Physical Parameters ◽  
Frequency Noise ◽  
Statistical Energy Analysis

The Statistical Energy Analysis (SEA) methodology has been widely used in aerospace, ship and automotive industry for high frequency noise analysis and acoustic designs. SEA models are treated here as baseline representations of a population of models for systems such as automotive vehicles. SEA responses from the population of all possible models for a vehicle have a random distribution because of the unavoidable uncertainty in the physical parameters due to fabrication imperfection, manufacturing and assembly variations. The random characteristics of the SEA responses can be described by the response probability distribution. In this work, SEA energy response probability distributions due to parameter randomness in a small neighborhood of nominal design values in frequency bands are proven through the Central Limit Theorem to be Gaussian for infinite number of design parameters. Mean squared sound pressure and velocity are directly proportional to SEA energy responses, their distributions are also shown to be Gaussian. In engineering applications, the number of design parameters is always finite for any SEA models. A Monte Carlo test and Statistical Hypothesis test on a simple 3-element SEA model show that the theoretical, infinite order, Gaussian distributions are good approximations for response distributions of a finite parameter SEA model.

Road Noise Modelling Using Statistical Energy Analysis Method

1995 ◽  
Author(s):  
Bangyi Dong ◽  
Martin Green ◽  
Mark Voutyras ◽  
Paul Bremner ◽  
Peter Kasper
Keyword(s):  
Energy Analysis ◽  
Statistical Energy Analysis ◽  
Analysis Method ◽  
Road Noise

Gas Turbine Acoustic Enclosure Design by the Statistical Energy Analysis Method

1995 ◽  
Vol 117 (3) ◽  
pp. 554-556
Author(s):  
L. K. H. Lu ◽  
M. Mitchell
Keyword(s):  
Gas Turbine ◽  
Energy Analysis ◽  
Transmission Loss ◽  
Closed Form Solution ◽  
Complex Problem ◽  
Form Solution ◽  
Statistical Energy Analysis ◽  
Analysis Method ◽  
Multiple Components ◽  
Practical Design

Acoustic enclosure design is a complex problem that involves the interaction of multiple components. Yet the present conventional approach uses a two-dimensional closed-form solution to evaluate transmission loss of acoustic wall. In this paper, Statistical Energy Analysis (SEA) was first studied for simple cases of radiation efficiency, transmission loss, and flanking path calculations. The effectiveness of the SEA method for complex systems was then demonstrated through a practical design application to gas turbine enclosure. It was found that SEA was a useful tool for gas turbine acoustic enclosure design.

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