Detail publikace

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

OMISHORE, A.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Correlation methods, Fatigue crack propagation, Urban planning

Autoři

OMISHORE, A.

Vydáno

24. 2. 2019

Nakladatel

Institute of Physics Publishing

ISSN

1757-8981

Periodikum

IOP Conference Series: Materials Science and Engineering

Ročník

471

Číslo

10

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

10

Strany počet

10

URL

https://iopscience-iop-org.ezproxy.lib.vutbr.cz/article/10.1088/1757-899X/471/10/102037

BibTex

@inproceedings{BUT163718,
  author="Abayomi {Omishore}",
  title="Stochastic Modelling and Prediction of Fatigue Crack Propagation Based on Experimental Research",
  booktitle="IOP Conference Series: Materials Science and Engineering",
  year="2019",
  journal="IOP Conference Series: Materials Science and Engineering",
  volume="471",
  number="10",
  pages="1--10",
  publisher="Institute of Physics Publishing",
  doi="10.1088/1757-899X/471/10/102037",
  issn="1757-8981",
  url="https://iopscience-iop-org.ezproxy.lib.vutbr.cz/article/10.1088/1757-899X/471/10/102037"
}