Acoustic Modeling for Three-Dimensional Lightweight Windshields

2018 ◽  
Author(s):  
Chao Yu ◽  
Vikram Bhatia
Keyword(s):  
Three Dimensional ◽  
Acoustic Modeling

Three-dimensional acoustic modeling of a complex harbor environment

2016 ◽  
Vol 140 (4) ◽  
pp. 3288-3288 ◽  
Author(s):  
Michael B. Porter ◽  
Laurel J. Henderson ◽  
Timothy F. Duda ◽  
Arthur E. Newhall
Keyword(s):  
Three Dimensional ◽  
Acoustic Modeling

Three dimensional underwater acoustic modeling on continental slopes and submarine canyons

2014 ◽  
Vol 136 (4) ◽  
pp. 2317-2317
Author(s):  
Ying-Tsong Lin ◽  
David Barclay ◽  
Timothy F. Duda ◽  
Weifeng Gordon Zhang
Keyword(s):  
Three Dimensional ◽  
Acoustic Modeling ◽  
Submarine Canyons ◽  
Underwater Acoustic ◽  
Continental Slopes

Structural-acoustic modeling for three-dimensional freefield and littoral environments with verification and validation

2011 ◽  
Vol 129 (5) ◽  
pp. 2979-2990 ◽  
Author(s):  
S. Dey ◽  
A. Sarkissian ◽  
H. Simpson ◽  
B. H. Houston ◽  
F. A. Bulat ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Verification And Validation ◽  
Acoustic Modeling

THREE-DIMENSIONAL EFFECTS ON SOUND PROPAGATION AND MATCHED-FIELD PROCESSOR PERFORMANCE

2001 ◽  
Vol 09 (01) ◽  
pp. 17-39 ◽  
Author(s):  
JUAN I. ARVELO ◽  
ALLAN P. ROSENBERG
Keyword(s):  
Sound Propagation ◽  
Three Dimensional ◽  
Equation Model ◽  
Acoustic Modeling ◽  
Model Parameters ◽  
Santa Barbara Channel ◽  
Santa Barbara ◽  
Narrow Angle ◽  
Processor Performance ◽  
Selection Of

The most recent 2-D split-step Padé parabolic-equation model was modified to include narrow-angle azimuthal coupling. This model was developed and applied to the Santa Barbara channel to assess the effect of 3-D propagation on the performance of a matched-field processor. These results, plus those from the Shallow Water Acoustic Modeling (SWAM) workshop's 3-D wedge and the Gaussian canyon cases, will demonstrate the importance of azimuthal coupling to sound propagation in littoral regions and its effect on the performance of a matched-field processor. Special emphasis is given to model limitations and suitable selection of model parameters that could be automated to achieve accurate predictions during production runs.

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