Statistical energy analysis: coupling loss factors, indirect coupling and system modes

2005 ◽  
Vol 279 (1-2) ◽  
pp. 141-170 ◽  
Author(s):  
B.R. Mace
Keyword(s):  
Energy Analysis ◽  
Statistical Energy Analysis ◽  
Coupling Loss ◽  
Indirect Coupling ◽  
Loss Factors

Formulation of SEA parameters using mobility functions

1994 ◽  
Vol 346 (1681) ◽  
pp. 477-488 ◽  
Keyword(s):  
Dynamic Systems ◽  
Energy Analysis ◽  
Statistical Energy Analysis ◽  
Coupling Loss ◽  
Coupled Subsystems ◽  
Power Inputs ◽  
Complex Structural ◽  
General Mobility ◽  
Power And Energy ◽  
Loss Factors

Statistical energy analysis SEA formulates the dynamic response of a system in terms of power and energy variables. The SEA parameters include power inputs; damping loss factors; which control the power dissipated within the system; and coupling loss factors, which control the power transmitted between coupled subsystems. One of the great difficulties in using SEA is the calculation of these parameters. In this paper sea parameters are formulated using general mobility functions. Simplifications that result from averaging the parameters either over frequency or over an ensemble of dynamic systems are presented. These simplifications make it possible to apply SEA to very complex structural-acoustic systems.

scholarly journals Coupling strength assumption in statistical energy analysis

2017 ◽  
Vol 473 (2200) ◽  
pp. 20160927 ◽  
Author(s):  
T. Lafont ◽  
N. Totaro ◽  
A. Le Bot
Keyword(s):  
Coupling Strength ◽  
Energy Flow ◽  
Energy Analysis ◽  
Flow Direction ◽  
Statistical Energy Analysis ◽  
Coupling Loss ◽  
Indirect Coupling ◽  
Random Forces ◽  
Statistical Ensembles ◽  
Coupled Plates

This paper is a discussion of the hypothesis of weak coupling in statistical energy analysis (SEA). The examples of coupled oscillators and statistical ensembles of coupled plates excited by broadband random forces are discussed. In each case, a reference calculation is compared with the SEA calculation. First, it is shown that the main SEA relation, the coupling power proportionality, is always valid for two oscillators irrespective of the coupling strength. But the case of three subsystems, consisting of oscillators or ensembles of plates, indicates that the coupling power proportionality fails when the coupling is strong. Strong coupling leads to non-zero indirect coupling loss factors and, sometimes, even to a reversal of the energy flow direction from low to high vibrational temperature.

A Simple Statistical Energy Analysis Technique on Modeling Continuous Coupling Interfaces

2013 ◽  
Vol 136 (1) ◽  
Author(s):  
Lin Ji ◽  
Zhenyu Huang
Keyword(s):  
Energy Analysis ◽  
Modeling Technique ◽  
Thin Plates ◽  
Statistical Energy Analysis ◽  
Coupling Loss ◽  
Numerical Investigations ◽  
Analysis Technique ◽  
Coupled Subsystems ◽  
Loss Factors

In statistical energy analysis (SEA) modeling, it is desirable that the SEA coupling loss factors (CLFs) between two continuously connected subsystems can be estimated in a convenient way. A simple SEA modeling technique is recommended in that continuous coupling interfaces may be replaced by sets of discrete points, provided the points are spaced at an appropriate distance apart. Consequently, the simple CLF formulae derived from discretely-connected substructures can be applied for continuous coupling cases. Based on the numerical investigations on SEA modeling of two thin plates connected along a line, a point-spacing criterion is recommended by fitting the point- and line-connection data of the two plates. It shows that the point spacing depends on not only the wavelengths but also the wavelength ratio of the two coupled subsystems.

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