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    A fast approach for acoustic source localization on a thin spherical shell

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    Author
    Zhou, Zixian
    Cui, Zhiwen
    Kundu, Tribikram
    Affiliation
    Department of Civil and Architectural Engineering and Mechanics, University of Arizona
    Aerospace and Mechanical Engineering Department, Materials Science and Engineering Department, University of Arizona
    Issue Date
    2021-09-01
    Keywords
    acoustic emission
    passive monitoring
    Source localization
    spherical shell
    
    Metadata
    Show full item record
    Publisher
    SAGE Publications
    Citation
    Zhou, Z., Cui, Z., & Kundu, T. (2021). A fast approach for acoustic source localization on a thin spherical shell. Structural Health Monitoring.
    Journal
    Structural Health Monitoring
    Rights
    © The Author(s) 2021.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Thin spherical shell structures are wildly used as pressure vessels in the industry because of their property of having equal in-plane normal stresses in all directions. Since very large pressure difference between the inside and outside of the wall exists, any formation of defects in the pressure vessel wall has a huge safety risk. Therefore, it is necessary to quickly locate the area where the defect maybe located in the early stage of defect formation and make repair on time. The conventional acoustic source localization techniques for spherical shells require either direction-dependent velocity profile knowledge or a large number of sensors to form an array. In this study, we propose a fast approach for acoustic source localization on thin isotropic and anisotropic spherical shells. A solution technique based on the time difference of arrival on a thin spherical shell without the prior knowledge of direction-dependent velocity profile is provided. With the help of “L”-shaped sensor clusters, only 6 sensors are required to quickly predict the acoustic source location for anisotropic spherical shells. For isotropic spherical shells, only 4 sensors are required. Simulation and experimental results show that this technique works well for both isotropic and anisotropic spherical shells.
    Note
    Immediate access
    ISSN
    1475-9217
    EISSN
    1741-3168
    DOI
    10.1177/14759217211041902
    Version
    Final accepted manuscript
    Sponsors
    Science and Technology Research Planning Project of Education Department of Jilin Province, China
    ae974a485f413a2113503eed53cd6c53
    10.1177/14759217211041902
    Scopus Count
    Collections
    UA Faculty Publications

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