Detail publikace

Stochastic Inverse Analysis of Fatigue Cracks based on Linear Fracture Mechanics

KALA, Z.

Originální název

Stochastic Inverse Analysis of Fatigue Cracks based on Linear Fracture Mechanics

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

KALA, Z.

Vydáno

1. 2. 2017

ISSN

2367-895X

Periodikum

International Journal of Mathematical and Computational Methods

Ročník

2017

Číslo

2

Stát

Spojené státy americké

Strany od

60

Strany do

65

Strany počet

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"
}