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Identification of Defects in Materials with Surface Conductivity Distribution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU73838" target="_blank" >RIV/00216305:26220/08:PU73838 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Identification of Defects in Materials with Surface Conductivity Distribution

  • Original language description

    The images of the electrical surface conductivity distribution can be reconstructed from the voltage measurement captured on the boundaries of an object. This very well known technique is named Electrical Impedance Tomography. The image reconstruction problem is an ill-posed inverse problem of finding such conductivity that minimizes some optimisationcriterion, which can be given by a suitable primal objective function. This paper describes new algorithms based on stochastic methods to be used for the acquirement of more accurate reconstruction results and stable solution. The proposed methods are expected to non-destructive test of materials. It will be shown examples of the identi?cation of voids or cracks in special structures called honeycombs. Instead of the experiments we used phantom evaluated voltage values based on the application of ?nite element method. The advantages of a new approach are compared with properties of a deterministic approach to the same image reconstructions

  • Czech name

    Identification of Defects in Materials with Surface Conductivity Distribution

  • Czech description

    The images of the electrical surface conductivity distribution can be reconstructed from the voltage measurement captured on the boundaries of an object. This very well known technique is named Electrical Impedance Tomography. The image reconstruction problem is an ill-posed inverse problem of finding such conductivity that minimizes some optimisationcriterion, which can be given by a suitable primal objective function. This paper describes new algorithms based on stochastic methods to be used for the acquirement of more accurate reconstruction results and stable solution. The proposed methods are expected to non-destructive test of materials. It will be shown examples of the identi?cation of voids or cracks in special structures called honeycombs. Instead of the experiments we used phantom evaluated voltage values based on the application of ?nite element method. The advantages of a new approach are compared with properties of a deterministic approach to the same image reconstructions

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    PIERS ONLINE

  • ISSN

    1931-7360

  • e-ISSN

  • Volume of the periodical

    4

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    5

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database