Publication result 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

English Title

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

Type

Paper in proceedings (conference paper)

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.

English 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

Key words in English

Correlation methods, Fatigue crack propagation, Urban planning

Authors

OMISHORE, A.

RIV year

2020

Released

24.02.2019

Publisher

Institute of Physics Publishing

Book

IOP Conference Series: Materials Science and Engineering

ISBN

1757-8981

Periodical

IOP Conference Series: Materials Science and Engineering

Volume

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"
}