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Structural identification of statistical distribution in Preisach-Mayergoyz hysteron space

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F15%3A00236286" target="_blank" >RIV/68407700:21340/15:00236286 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Structural identification of statistical distribution in Preisach-Mayergoyz hysteron space

  • Original language description

    Hysteresis is a phenomenon occurring in ferromagnetic materials as well as in a course of deformation of some materials, which are flexible or elastic. Preisach-Mayergoyz model (PM model) of hysteresis has an important place in the field of nonlinear elastic spectroscopy. The model can be used to structure detection of hysteresis materials. To identify the density of hysterons in PM space the iterative optimization method called simulated annealing was used. We focused on the mixtures of distributions due to these might comply with the structure of real materials. Experimentally obtained data of porcine skin tissue provided by laboratory INSA in Blois, France were processed. For easier and less time-consuming identification there were made an effort both to estimate the number of components of distribution mixture from the primary analysis of hysteresis curve and to ascertain the impact of pollution on the shape of hysteresis curve.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JL - Fatigue and fracture mechanics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    SPMS 2015 - Stochastic and Physical Monitoring Systems - Proceedings

  • ISBN

    978-80-01-05841-1

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    107-114

  • Publisher name

    ČVUT

  • Place of publication

    Praha

  • Event location

    Drhleny

  • Event date

    Jun 22, 2015

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article