Advanced computational methods in acoustic tomography.
| dc.contributor.advisor | Kline, Ronald A., | en_US |
| dc.contributor.author | Sullivan, Claire. | en_US |
| dc.date.accessioned | 2013-08-16T12:29:33Z | |
| dc.date.available | 2013-08-16T12:29:33Z | |
| dc.date.issued | 1997 | en_US |
| dc.description.abstract | An alternative approach is based on the field theory of wave propagation. A finite difference solution of the wave equation for an anisotropic medium is used. The material properties can be reconstructed using a modification of the traditional ART (algebraic reconstruction technique). The rotation angle of a fiber-reinforced laminate is reconstructed in this study. The algorithm is successful in detecting two, five and ten-degree misalignments in an orthotropic composite laminate. | en_US |
| dc.description.abstract | A matrix domain decomposition of the ray tracer and the tomography algorithm is presented. This technique is applied to a heterogeneous isotropic material and the velocity is reconstructed. Each processor is assigned a grid point in the discretized model, allowing all source-receiver pair calculations to be performed simultaneously. The CPU time remains relatively constant as the array size increases. | en_US |
| dc.description.abstract | In this work, two methods of acoustic tomography are introduced. Advanced computational methods are implemented to handle the complexity of the tomographic algorithm in isotropic and anisotropic materials. Parallel processing is a technique used to improve the performance and thus the versatility of the method. The speed-up using parallel processing techniques is presented. | en_US |
| dc.format.extent | ix, 89 leaves : | en_US |
| dc.identifier.uri | http://hdl.handle.net/11244/5445 | |
| dc.note | Major Professor: Ronald A. Kline. | en_US |
| dc.note | Source: Dissertation Abstracts International, Volume: 58-02, Section: B, page: 0940. | en_US |
| dc.subject | Computer Science. | en_US |
| dc.subject | Acoustic imaging. | en_US |
| dc.subject | Tomography. | en_US |
| dc.subject | Engineering, Mechanical. | en_US |
| dc.thesis.degree | Ph.D. | en_US |
| dc.thesis.degreeDiscipline | School of Aerospace and Mechanical Engineering | en_US |
| dc.title | Advanced computational methods in acoustic tomography. | en_US |
| dc.type | Thesis | en_US |
| ou.group | College of Engineering::School of Aerospace and Mechanical Engineering | |
| ou.identifier | (UMI)AAI9722334 | en_US |
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