Development of a genetic algorithm tracking technique for the particle image velocimetry and comparison with other tracking models /
A new tracking method, known as the Genetic Algorithm, was
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1996.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | A new tracking method, known as the Genetic Algorithm, was analyzed to find the flow's velocity field, vorticity and qualitative full-field velocity information which can be be analyzed, the. tracking process must be fast and reliable. components, turbulent intensities, etc. The measurement computational fluid dynamic code (GUST) were generated. All developed for the two-dimensional PIV technique. This method evaluate their efficiency, i.e., reliability and yield. four methods were used to track the synthetic data. Then the particles between sequential frames. The new tracking method reconstructed vectors, the tracking, results of four tracking simulated which are determine vectors were compared with the structure of various fluid flows. It provides quantitative suspended in the flow. Since a large quantity of data has to Synthetic data from a Large Eddy Simulation (LES) technique is a very efficient technique for studying the technique relies on fast and efficient methods to accurately techniques, to the yield and reliability. The Particle Image Velocimetry (plV) flow measu rement track images of neutral density particles which have been utilizes a combinatorial approach to identify corresponding was compared with three other existing tracking methods to |
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| Item Description: | "Major subject: Nuclear Engineering". Vita. |
| Physical Description: | x, 44 leaves : illustrations ; 28 cm. Also available online. Issued also on microfiche from Lange Micrographics. |
| Bibliography: | Includes bibliographical references. |