Publication detail

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

OMISHORE, A.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Correlation methods, Fatigue crack propagation, Urban planning

Authors

OMISHORE, A.

Released

24. 2. 2019

Publisher

Institute of Physics Publishing

ISBN

1757-8981

Periodical

IOP Conference Series: Materials Science and Engineering

Year of study

471

Number

10

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

10

Pages count

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"
}