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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20103 - Architecture engineering

Projekt

<a href="/cs/project/GA17-01589S" target="_blank" >GA17-01589S: Pokročilé výpočetní a pravděpodobnostní modelování ocelových konstrukcí s ohledem na únavové poškození</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

IOP Conference Series: Materials Science and Engineering

ISBN

—

ISSN

1757-8981

e-ISSN

—

Počet stran výsledku

10

Strana od-do

1-10

Název nakladatele

Institute of Physics Publishing

Místo vydání

Neuveden

Místo konání akce

Praha

Datum konání akce

18. 6. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000465811805052