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Stochastic Modelling and Prediction of Fatigue Crack Propagation Based on Experimental Research

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F19%3APU136320" target="_blank" >RIV/00216305:26110/19:PU136320 - isvavai.cz</a>

  • Result on the web

    <a href="https://iopscience-iop-org.ezproxy.lib.vutbr.cz/article/10.1088/1757-899X/471/10/102037" target="_blank" >https://iopscience-iop-org.ezproxy.lib.vutbr.cz/article/10.1088/1757-899X/471/10/102037</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1088/1757-899X/471/10/102037" target="_blank" >10.1088/1757-899X/471/10/102037</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stochastic Modelling and Prediction of Fatigue Crack Propagation Based on Experimental Research

  • Original language description

    Numerical analysis of the propagation of an edge crack in a plate was performed in this study. The theoretical model of fatigue crack progression is based on linear fracture mechanics. Calibration functions for short edge cracks are applied in stochastic models and the stochastic dependencies between input random variables and the fatigue resistance are described. Attention is focused on the domain of the relative crack length. Results are obtained using the Latin Hypercube Sampling method. Sensitivity analysis is evaluated using methods ranging from the screening method to quantitative techniques based on correlation measurements. Pearson correlation coefficient, Spearman rank-correlation coefficient and Kendall rank correlation coefficient are used for the evaluation of sensitivity analysis. The study demonstrates the application of several numerical simulation procedures covering both qualitative and quantitative sensitivity analysis using a one-sample base. The effects of non-linear stochastic dependencies and outliers on the results of sensitivity analysis are discussed.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20103 - Architecture engineering

Result continuities

  • Project

    <a href="/en/project/GA17-01589S" target="_blank" >GA17-01589S: Advanced computational and probabilistic modelling of steel structures taking account fatigue damage</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IOP Conference Series: Materials Science and Engineering

  • ISBN

  • ISSN

    1757-8981

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    1-10

  • Publisher name

    Institute of Physics Publishing

  • Place of publication

    Neuveden

  • Event location

    Praha

  • Event date

    Jun 18, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000465811805052