Publication detail

Probability based global sensitivity analysis of fatigue reliability of steel structures

KALA, Z.

Original Title

Probability based global sensitivity analysis of fatigue reliability of steel structures

Type

conference paper

Language

English

Original Abstract

This article focuses on reliability-oriented global sensitivity analysis of the fatigue limit state of a steel member stressed by many times repeated loading. The fatigue limit state is associated with fatigue failure, which is caused by brittle fracture due to propagation of a fatigue crack from initial to critical size. The fatigue crack propagation is analysed using linear fracture mechanics. The fundamental question in terms of structural reliability is how significant is the effect of input random quantities on the probability of failure. A new type of global sensitivity analysis subordinated to a contrast identified the equivalent stress range and initial edge crack length as random quantities that most significantly influence the failure probability. The new findings obtained using the contrast-based global sensitivity analyses show interaction effects that are unusually strong in comparison with some results of Sobol's sensitivity analysis aimed at the reliability of structures. The sensitivity indices are estimated using double-nested-loop simulation of the Latin Hypercube Sampling method.

Keywords

Structural reliability, fatigue, bridge, steel, fracture mechanics, probability.

Authors

KALA, Z.

Released

1. 1. 2019

ISBN

1757-8981

Periodical

IOP Conference Series: Materials Science and Engineering

Year of study

2019

Number

668

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

7

Pages count

7

URL

https://doi.org/10.1088/1757-899X/668/1/012015

BibTex

@inproceedings{BUT162333,
  author="Zdeněk {Kala}",
  title="Probability based global sensitivity analysis of fatigue reliability of steel structures",
  booktitle="IOP Conference Series: Materials Science and Engineering",
  year="2019",
  journal="IOP Conference Series: Materials Science and Engineering",
  volume="2019",
  number="668",
  pages="1--7",
  doi="10.1088/1757-899X/668/1/012015",
  issn="1757-8981",
  url="https://doi.org/10.1088/1757-899X/668/1/012015"
}