Publication detail

Stochastic Inverse Analysis of Fatigue Cracks based on Linear Fracture Mechanics

KALA, Z.

Original Title

Stochastic Inverse Analysis of Fatigue Cracks based on Linear Fracture Mechanics

Type

journal article - other

Language

English

Original Abstract

For steel structures and bridges subjected to fatigue loading, it is possible to determine the probabilities for basic phenomena that are related to the growth of fatigue cracks. Emerging new methods of probabilistic reliability assessment consider the effects of possible defects in the form of initiation cracks, which are the main cause of the propagation of fatigue cracks. The strongly nonlinear dependence between the initial crack size and fatigue resistance can lead to unrealistic probabilistic models if the types of probability density functions are selected inappropriately. The article discusses the uncertainties present in determining the variables in the calculation, which must be logically related to the probabilistic model of fatigue resistance. The aim of the present paper is to provide a methodology of inverse stochastic analysis, which is suitable for the verification of probabilistic models of fatigue crack propagation.

Keywords

Fatigue, fracture, mechanics, Paris-Erdogan, crack, stochastic, skewness, steel, bridge, structure

Authors

KALA, Z.

Released

1. 2. 2017

ISBN

2367-895X

Periodical

International Journal of Mathematical and Computational Methods

Year of study

2017

Number

2

State

United States of America

Pages from

60

Pages to

65

Pages count

6

URL

BibTex

@article{BUT145988,
  author="Zdeněk {Kala}",
  title="Stochastic Inverse Analysis of Fatigue Cracks based on Linear Fracture Mechanics",
  journal="International Journal of Mathematical and Computational Methods",
  year="2017",
  volume="2017",
  number="2",
  pages="60--65",
  issn="2367-895X",
  url="http://www.iaras.org/iaras/home/caijmcm/stochastic-inverse-analysis-of-fatigue-cracks-based-on-linear-fracture-mechanics"
}