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Correlation of Steel Yield Stress and Ultimate Strength - Monte Carlo Simulation via Non-Gaussian Random Variables

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27120%2F17%3A10237902" target="_blank" >RIV/61989100:27120/17:10237902 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scientific.net/MSF.893.223" target="_blank" >https://www.scientific.net/MSF.893.223</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4028/www.scientific.net/MSF.893.223" target="_blank" >10.4028/www.scientific.net/MSF.893.223</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Correlation of Steel Yield Stress and Ultimate Strength - Monte Carlo Simulation via Non-Gaussian Random Variables

  • Original language description

    This paper describes a Monte Carlo simulation of the correlated steel characteristics of yield stress and ultimate strength of steel S235 grade from Northern Moravia region in the Czech Republic. Their joint distribution is described by a correlation index and frequency histograms. The paper step-by-step describes simulation process of the transformation of a correlated Gaussian joint distribution to a general joint distribution, because the yield stress as well as ultimate steel strength random parameters do not follow a Gaussian distribution. Their marginal distribution can be easily described by a suitable parametric distribution or frequency histogram suitable for use with the Simulation-based Reliability Assessment method (SBRA). Describing joint distributions of nonGaussian processes is overcome by application of fractile correlation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20102 - Construction engineering, Municipal and structural engineering

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Materials Science Forum. Volume 893

  • ISBN

    978-3-0357-1090-8

  • ISSN

    0255-5476

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    223-228

  • Publisher name

    Trans Tech Publications

  • Place of publication

    Durnten-Zurich

  • Event location

    Sanya

  • Event date

    Nov 19, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article