Publication detail

Stochastic analysis for short edge cracks under selected loads

KREJSA, M. BROŽOVSKÝ, J. LEHNER, P. SEITL, S. KALA, Z.

Original Title

Stochastic analysis for short edge cracks under selected loads

Type

conference paper

Language

English

Original Abstract

The article is focused on the exploration of fatigue damage to bridges and steel structures subjected to cyclic loading. Computational model is focused on fatigue crack propagating from the surface and it is based on linear elastic fracture mechanics utilizing the Paris-Erdogan’s law. The behavior of the carrier element susceptible to fatigue damage is experimentally investigated on specimens with various types of load and it is expressed by a calibration function. For the prediction of fatigue damage over time, calibration functions for short edge cracks were derived based on the results of the experiment, and the acceptable size of the fatigue crack in damaged structural component under analysis was determined. Using the derived relationships, a stochastic analysis of the selected element was performed and the results are discussed.

Keywords

Paris law, steel structure, damage inspection

Authors

KREJSA, M.; BROŽOVSKÝ, J.; LEHNER, P.; SEITL, S.; KALA, Z.

Released

10. 7. 2018

Publisher

Publisher Logo Conference Proceedings

ISBN

978-0-7354-1690-1

Book

AIP Conference Proceedings

ISBN

1551-7616

Periodical

AIP Conference Proceedings

Year of study

2018

Number

1978

State

United States of America

Pages from

1

Pages to

4

Pages count

4

URL

https://aip.scitation.org/doi/abs/10.1063/1.5043797

BibTex

@inproceedings{BUT150804,
  author="Martin {Krejsa} and Jiří {Brožovský} and Petr {Lehner} and Stanislav {Seitl} and Zdeněk {Kala}",
  title="Stochastic analysis for short edge cracks under selected loads",
  booktitle="AIP Conference Proceedings",
  year="2018",
  journal="AIP Conference Proceedings",
  volume="2018",
  number="1978",
  pages="1--4",
  publisher="Publisher Logo Conference Proceedings",
  doi="10.1063/1.5043797",
  isbn="978-0-7354-1690-1",
  issn="1551-7616",
  url="https://aip.scitation.org/doi/abs/10.1063/1.5043797"
}