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    Predicting the Size and Location of a Cavity in a Solid Half-Space from the Scattered Ultrasonic Fields Using Genetic Algorithms

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    Author
    Alnuaimi, Hamad
    Issue Date
    2018
    Keywords
    Distributed point source method
    DPSM
    Genetic algorithms
    Inverse problem optimization
    Mesh-free modeling
    Scattered ultrasonic field
    Advisor
    Kundu, Tribikram
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Genetic algorithms are used to predict the size and location of an elliptical cavity within a solid half-space. The scattering of ultrasonic waves in the solid half-space with a cavity is modeled using Distributed Point Source Method (DPSM). DPSM which is a semi-analytical technique that utilizes Green’s function is used for modeling because this technique is more efficient than popular but not so efficient Finite Element Method (FEM). FEM is very inefficient for modeling ultrasonic wave propagation problems at high frequencies and for solving an inverse problem one needs an algorithm that can solve the forward problem efficiently. The inverse problem is solved by applying a genetic algorithm to the forward problem to determine the optimum solution. The optimum population size and number of generations are determined. Results and analysis are performed for 3 cases of unknown variables.
    Type
    text
    Electronic Thesis
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Graduate College
    Civil Engineering and Engineering Mechanics
    Degree Grantor
    University of Arizona
    Collections
    Master's Theses

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