Stochastic Inverse Analysis of Fatigue Cracks based on Linear Fracture Mechanics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F17%3APU127122" target="_blank" >RIV/00216305:26110/17:PU127122 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.iaras.org/iaras/home/caijmcm/stochastic-inverse-analysis-of-fatigue-cracks-based-on-linear-fracture-mechanics" target="_blank" >http://www.iaras.org/iaras/home/caijmcm/stochastic-inverse-analysis-of-fatigue-cracks-based-on-linear-fracture-mechanics</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Stochastic Inverse Analysis of Fatigue Cracks based on Linear Fracture Mechanics

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Stochastic Inverse Analysis of Fatigue Cracks based on Linear Fracture Mechanics

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

20101 - Civil engineering

Projekt

<a href="/cs/project/GA17-01589S" target="_blank" >GA17-01589S: Pokročilé výpočetní a pravděpodobnostní modelování ocelových konstrukcí s ohledem na únavové poškození</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Mathematical and Computational Methods

ISSN

2367-895X

e-ISSN

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Svazek periodika

2017

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

6

Strana od-do

60-65

Kód UT WoS článku

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EID výsledku v databázi Scopus

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