Prediction of the acoustical performance of enclosures using a hybrid statistical energy analysis: Image source model

2010 ◽  
Vol 127 (2) ◽  
pp. 784-795 ◽  
Author(s):  
Franck Sgard ◽  
Hugues Nelisse ◽  
Noureddine Atalla ◽  
Celse Kafui Amedin ◽  
Remy Oddo
Keyword(s):  
Energy Analysis ◽  
Source Model ◽  
Statistical Energy Analysis ◽  
Image Source

Experimental and Statistical Energy Analysis of the Structure-borne Noise in a Helicopter Cabin

2017 ◽  
Vol 10 (6) ◽  
pp. 323
Author(s):  
Raffaella Di Sante ◽  
Marcello Vanali ◽  
Elisabetta Manconi ◽  
Alessandro Perazzolo
Keyword(s):  
Energy Analysis ◽  
Statistical Energy Analysis

scholarly journals Room acoustic prediction and auralization based on an extended image source model

1992 ◽  
Vol 92 (4) ◽  
pp. 2346-2346 ◽  
Author(s):  
Bengt‐Inge Dalenbäck ◽  
Peter Svensson ◽  
Mendel Kleiner
Keyword(s):  
Source Model ◽  
Image Source

Power Flow and Energy Sharing between an Oscillator and a Continuous Receiver Structure

2011 ◽  
Vol 189-193 ◽  
pp. 1914-1917
Author(s):  
Lin Ji
Keyword(s):  
High Frequency ◽  
Power Flow ◽  
Energy Analysis ◽  
Statistical Energy Analysis ◽  
Coupled Subsystems ◽  
Modal Density ◽  
Vibration Problems ◽  
Energy Sharing ◽  
High Modal Density ◽  
Vibration Modeling

A key assumption of conventional Statistical Energy Analysis (SEA) theory is that, for two coupled subsystems, the transmitted power from one to another is proportional to the energy differences between the mode pairs of the two subsystems. Previous research has shown that such an assumption remains valid if each individual subsystem is of high modal density. This thus limits the successful applications of SEA theory mostly to the regime of high frequency vibration modeling. This paper argues that, under certain coupling conditions, conventional SEA can be extended to solve the mid-frequency vibration problems where systems may consist of both mode-dense and mode-spare subsystems, e.g. ribbed-plates.

scholarly journals Ergodic billiard and statistical energy analysis

Wave Motion ◽  
2019 ◽  
Vol 87 ◽  
pp. 166-178 ◽  
Author(s):  
H. Li ◽  
N. Totaro ◽  
L. Maxit ◽  
A. Le Bot
Keyword(s):  
Energy Analysis ◽  
Statistical Energy Analysis
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