Publication detail

Sensitivity of numerically modelled crack closure to material

KUBÍČEK, R. VOJTEK, T. POKORNÝ, P. HUTAŘ, P.

Original Title

Sensitivity of numerically modelled crack closure to material

Type

journal article in Scopus

Language

English

Original Abstract

Crack closure is a phenomenon which slows down fatigue crack propagation and leads to higher residual life of components and to a change in the crack front curvature. Because of the significant impact on the fatigue crack growth rate, the scientific and engineering community has been trying to describe this phenomenon very precisely. One of the most frequently described closure mechanisms is plasticity-induced crack closure (PICC) which is dominant in the Paris regime. In the presented work, a CT specimen has been modelled three-dimensionally and the PICC estimations have been done for different models of materials to investigate their sensitivity. The models were cyclically loaded by forces inducing maximal stress intensity factor of 17 MPa√m at the load ratio R=0.1. The crack was curved according to conducted experiments. Even though Newman’s equation estimates PICC almost constant, differences were observed from finite element simulations.

Keywords

Finite element analysis, plasticity-induced crack closure, fatigue crack growth, high cycle fatigue

Authors

KUBÍČEK, R.; VOJTEK, T.; POKORNÝ, P.; HUTAŘ, P.

Released

3. 1. 2023

Publisher

Elsevier

ISBN

2452-3216

Periodical

Procedia Structural Integrity

Year of study

42

Number

1

State

Republic of Italy

Pages from

911

Pages to

918

Pages count

8

URL

https://www.sciencedirect.com/science/article/pii/S2452321622006722

Full text in the Digital Library

http://hdl.handle.net/11012/209212

BibTex

@article{BUT182482,
  author="Radek {Kubíček} and Tomáš {Vojtek} and Pavel {Pokorný} and Pavel {Hutař}",
  title="Sensitivity of numerically modelled crack closure to material",
  journal="Procedia Structural Integrity",
  year="2023",
  volume="42",
  number="1",
  pages="911--918",
  doi="10.1016/j.prostr.2022.12.115",
  issn="2452-3216",
  url="https://www.sciencedirect.com/science/article/pii/S2452321622006722"
}