Acoustic energy density distribution and sound intensity vector field inside coupled spaces

2012 ◽  
Vol 132 (1) ◽  
pp. 228-238 ◽  
Author(s):  
Mirosław Meissner
Keyword(s):  
Vector Field ◽  
Energy Density ◽  
Density Distribution ◽  
Sound Intensity ◽  
Acoustic Energy ◽  
Energy Density Distribution ◽  
Intensity Vector ◽  
Acoustic Energy Density

Measurement facility for the relative radiation energy density distribution for pulse-periodic lasers

1988 ◽  
Vol 31 (10) ◽  
pp. 966-967
Author(s):  
V. I. Andreev ◽  
A. P. Palivoda ◽  
S. P. Fetisov ◽  
N. V. Shalomeeva ◽  
V. A. Yakovlev
Keyword(s):  
Energy Density ◽  
Density Distribution ◽  
Radiation Energy ◽  
Measurement Facility ◽  
Radiation Energy Density ◽  
Energy Density Distribution

An Energy Boundary Element Formulation for Predicting the Acoustic Field Around a Vehicle at High Frequencies Due to Airborne Noise Sources

2003 ◽  
Author(s):  
Aimin Wang ◽  
Nickolas Vlahopoulos ◽  
Jason Zhu ◽  
Mike Qian
Keyword(s):  
Energy Density ◽  
Boundary Element ◽  
Acoustic Field ◽  
Test Data ◽  
Acoustic Energy ◽  
Element Formulation ◽  
Acoustic Intensity ◽  
Numerical Predictions ◽  
Airborne Noise ◽  
Acoustic Energy Density

An Energy Boundary Element Analysis (EBEA) formulation is presented for calculating sound radiation from a source with arbitrary shape at high frequency. The basic integral equation for the EBEA is derived including a half-space boundary condition. The time and frequency averaged acoustic energy density and acoustic intensity constitutes the primary variables of the new formulation, and the corresponding Green’s functions are derived. The governing equations for the EBEA are established and the numerical formulae for the coefficients of the system matrix, the acoustic energy density, and the acoustic intensity are derived using a Gaussian quadrature. The EBEA formulation and the corresponding numerical implementation are validated by comparing EBEA results to test data for the acoustic field around a vehicle that originates from an airborne noise source. Good correlation is demonstrated between numerical predictions and test data.

An adaptive equalization scheme using acoustic energy density

2004 ◽  
Vol 115 (5) ◽  
pp. 2612-2612
Author(s):  
Xi Chen ◽  
Scott D. Sommerfeldt ◽  
Timothy W. Leishman
Keyword(s):  
Energy Density ◽  
Acoustic Energy ◽  
Adaptive Equalization ◽  
Acoustic Energy Density
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