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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
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
http://www.iaras.org/iaras/home/caijmcm/stochastic-inverse-analysis-of-fatigue-cracks-based-on-linear-fracture-mechanics
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" }