Parallel implementation of the sparse-matrix/canonical grid method for the analysis of two-dimensional random rough surfaces (three-dimensional scattering problem) on a Beowulf system

2000 ◽  
Vol 38 (4) ◽  
pp. 1600-1608 ◽  
Author(s):  
Shu-Qing Li ◽  
Chi Hou Chan ◽  
Leung Tsang ◽  
Qin Li ◽  
Lin Zhou
Keyword(s):  
Parallel Implementation ◽  
Sparse Matrix ◽  
Rough Surfaces ◽  
Scattering Problem ◽  
Three Dimensional ◽  
Grid Method ◽  
Two Dimensional ◽  
Random Rough Surfaces

Multilevel expansion of the sparse-matrix canonical grid method for two-dimensional random rough surfaces

2001 ◽  
Vol 49 (11) ◽  
pp. 1579-1589 ◽  
Author(s):  
Shu-Qing Li ◽  
Chi Hou Chan ◽  
Ming-Yao Xia ◽  
Bo Zhang ◽  
Leung Tsang
Keyword(s):  
Sparse Matrix ◽  
Rough Surfaces ◽  
Grid Method ◽  
Two Dimensional ◽  
Random Rough Surfaces

scholarly journals LOW- TO MID-FREQUENCY SCATTERING FROM ELASTIC OBJECTS ON A SAND SEA FLOOR: SIMULATION OF FREQUENCY AND ASPECT DEPENDENT STRUCTURAL ECHOES

2012 ◽  
Vol 20 (02) ◽  
pp. 1240007 ◽  
Author(s):  
MARIO ZAMPOLLI ◽  
AUBREY L. ESPANA ◽  
KEVIN L. WILLIAMS ◽  
STEVEN G. KARGL ◽  
ERIC I. THORSOS ◽  
...  
Keyword(s):  
Scattering Problem ◽  
Three Dimensional ◽  
Element Model ◽  
Propagation Model ◽  
Target Strength ◽  
Unexploded Ordnance ◽  
Two Dimensional ◽  
Axially Symmetric ◽  
Sea Floor ◽  
Spectral Integral

The scattering from roughly meter-sized targets, such as pipes, cylinders and unexploded ordnance shells in the 1–30 kHz frequency band is studied by numerical simulations and compared to experimental results. The numerical tool used to compute the frequency and aspect-dependent target strength is a hybrid model, consisting of a local finite-element model for the vicinity of the target, based on the decomposition of the three-dimensional scattering problem for axially symmetric objects into a series of independent two-dimensional problems, and a propagation model based on the wavenumber spectral integral representation of the Green's functions for layered media.

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