Power Transfer Functions for Aircraft Statistical Energy Analysis Model Validation

2009 ◽  
Author(s):  
Mark Moeller ◽  
Mark Gmerek ◽  
Ashna Nagi
Keyword(s):  
Model Validation ◽  
Energy Analysis ◽  
Transfer Functions ◽  
Statistical Energy Analysis ◽  
Power Transfer ◽  
Analysis Model

scholarly journals Statistical Energy Analysis Model for Sound Pressure Level Prediction on Refrigerators

2020 ◽  
Vol 48 (2) ◽  
pp. 233-250
Author(s):  
R. Zárate ◽  
J. Poblet-Puig ◽  
M. Ortega ◽  
M. López-Parra
Keyword(s):  
Sound Pressure Level ◽  
Sound Pressure ◽  
Energy Analysis ◽  
Pressure Level ◽  
Statistical Energy Analysis ◽  
Analysis Model

scholarly journals Corrected Statistical Energy Analysis Model in a Non-Reverberant Acoustic Space

2021 ◽  
Vol 55 (3) ◽  
pp. 203-219
Author(s):  
Al Munawir ◽  
Azma Putra ◽  
Iwan Prasetiyo ◽  
Wan Mohd Farid Wan Mohamad ◽  
Safarudin Herawan
Keyword(s):  
Energy Analysis ◽  
Statistical Energy Analysis ◽  
Analysis Model ◽  
Acoustic Space

Structure-Borne Tire Noise Statistical Energy Analysis Model

1997 ◽  
Vol 25 (3) ◽  
pp. 177-186 ◽  
Author(s):  
J. J. Lee ◽  
A. E. Ni
Keyword(s):  
High Frequency ◽  
Energy Analysis ◽  
Frequency Noise ◽  
Statistical Energy Analysis ◽  
Analysis Model ◽  
High Frequency Noise ◽  
Tire Noise ◽  
Modeling Methodology ◽  
Vehicle System ◽  
Good Agreement

Abstract The application of the Statistical Energy Analysis (SEA) technique on vehicle high frequency noise has gained popularity. It is desirable to model the tire to provide the capability of vehicle system NVH prediction. An SEA model for the structure-borne noise has been developed. The point mobility shows good agreement with measurement. The modeling methodology on tread bands, sidewalls, and their coupling are discussed. The modeling requirements and prospects are also included.

Numerical study of acoustic transmission across heavily damped plate using hybrid Ray-Tracing-SEA method

2020 ◽  
pp. 1351010X2093955
Author(s):  
Feng Yan ◽  
Robin Wilson ◽  
Peter Rutherford
Keyword(s):  
Field Theory ◽  
Ray Tracing ◽  
Energy Analysis ◽  
Numerical Study ◽  
Effective Length ◽  
Energy Concentration ◽  
Statistical Energy Analysis ◽  
Analysis Model ◽  
Damped System ◽  
The Difference

Energy transmission across lightly damped structures has been well studied including the approved success of statistical energy analysis in mid and high frequency bands. For heavily damped elements, the diffuse field theory, which is used in computing coupling loss factors, tends to fail. Energy attenuation with distance becomes more significant for such elements and hence the energy is less likely to be evenly distributed within those elements. A ray tracing algorithm is developed taking account of this phenomenon by tracking the travel history of a great number of discrete rays. The predicted transmitted energy is used in a modified statistical energy analysis model to calculate energy level difference between different subsystems. Numerical validation and comparison on a concrete five-plate system are conducted in both lightly damped and heavily damped cases. Both the classic and the hybrid models show good agreement for lightly damped system and differ for heavily damped system. The difference tends to become larger with increasing frequency and internal damping level. The parameter “effective length ratio” is proposed to describe the phenomena of energy concentration along the edge and as in indicator of whether the application of diffuse field theory is appropriate.

scholarly journals Statistical energy analysis of nonlinear vibrating systems

2015 ◽  
Vol 373 (2051) ◽  
pp. 20140403 ◽  
Author(s):  
G. M. Spelman ◽  
R. S. Langley
Keyword(s):  
Large Amplitude ◽  
Energy Analysis ◽  
Transfer Functions ◽  
Statistical Energy Analysis ◽  
Cubic Nonlinearity ◽  
Frequency Bands ◽  
Amplitude Vibration ◽  
Energy Variable ◽  
Large Amplitude Vibration ◽  
External Forces

Nonlinearities in practical systems can arise in contacts between components, possibly from friction or impacts. However, it is also known that quadratic and cubic nonlinearity can occur in the stiffness of structural elements undergoing large amplitude vibration, without the need for local contacts. Nonlinearity due purely to large amplitude vibration can then result in significant energy being found in frequency bands other than those being driven by external forces. To analyse this phenomenon, a method is developed here in which the response of the structure in the frequency domain is divided into frequency bands, and the energy flow between the frequency bands is calculated. The frequency bands are assigned an energy variable to describe the mean response and the nonlinear coupling between bands is described in terms of weighted summations of the convolutions of linear modal transfer functions. This represents a nonlinear extension to an established linear theory known as statistical energy analysis (SEA). The nonlinear extension to SEA theory is presented for the case of a plate structure with quadratic and cubic nonlinearity.

A SEA Model for the Noise Analysis and Prediction of a Vacuum Cleaner

2009 ◽  
Author(s):  
Lifang Yang ◽  
Zhiyong Long
Keyword(s):  
Loss Factor ◽  
Energy Analysis ◽  
Noise Analysis ◽  
Input Power ◽  
Statistical Energy Analysis ◽  
Analysis Model ◽  
Vacuum Cleaner ◽  
Prediction And Control ◽  
Noise Vibration ◽  
And Control

As an effective method for middle and high-frequency vibro-acoustics prediction, SEA (Statistical Energy Analysis) has been successfully applied to some areas such as aerospace, ship, and car. In this paper, a statistical energy analysis model is built for studying the noise prediction and control of vacuum cleaner. First the principles for subsystem partition are provided and subsystems and connections of SEA model are completed in AutoSEA software. Then for complex structures, their equivalent parameters are discussed. For different structures, a series of formulae of SEA parameters are provided, such as module density, damping loss factor and coupling loss factor, the input power is obtained by experimental measurement. By comparing the simulated SPL(sound pressure level) with the measured SPL, the correctness of the model is verified. Furthermore, error sources of the model are analyzed. This study can offer guidance and reference on how to carry out noise-vibration study and build up vacuum cleaner SEA model.

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