Extension of a Microstructure-Based Fatigue Crack Growth Model for Predicting Fatigue Life Variability

2008 ◽  
pp. 87-87-17 ◽  
Author(s):  
MP Enright ◽  
KS Chan
Keyword(s):  
Fatigue Crack ◽  
Fatigue Life ◽  
Fatigue Crack Growth ◽  
Crack Growth ◽  
Growth Model ◽  
Crack Growth Model

Fatigue life prediction based on an equivalent initial flaw size approach and a new normalized fatigue crack growth model

2016 ◽  
Vol 69 ◽  
pp. 15-28 ◽  
Author(s):  
J.A.F.O. Correia ◽  
S. Blasón ◽  
A.M.P. De Jesus ◽  
A.F. Canteli ◽  
P.M.G.P. Moreira ◽  
...  
Keyword(s):  
Fatigue Crack ◽  
Fatigue Life ◽  
Fatigue Crack Growth ◽  
Crack Growth ◽  
Growth Model ◽  
Life Prediction ◽  
Flaw Size ◽  
Fatigue Life Prediction ◽  
Crack Growth Model

On Normalized Fatigue Crack Growth Modeling

2020 ◽  
Author(s):  
Sebastian T. Glavind ◽  
Henning Brüske ◽  
Michael H. Faber
Keyword(s):  
Fatigue Crack ◽  
Fatigue Life ◽  
Fatigue Crack Growth ◽  
Crack Growth ◽  
Growth Model ◽  
Probabilistic Models ◽  
Maintenance Planning ◽  
Mechanical Models ◽  
Inspection And Maintenance ◽  
Crack Growth Model

Abstract Modeling of fatigue crack growth plays a key role in risk informed inspection and maintenance planning for fatigue sensitive structural details. Probabilistic models must be available for observable fatigue performances such as crack length and depth, as a function of time. To this end, probabilistic fracture mechanical models are generally formulated and calibrated to provide the same probabilistic characteristics of the fatigue life as the relevant SN fatigue life model. Despite this calibration, it is recognized that the rather complex fracture mechanical models suffer from the fact that several of their parameters are assessed experimentally on an individual basis. Thus, the probabilistic models derived for these parameters in general omit possible mutual dependencies, and this in turn is likely to increase the uncertainty associated with modeled fatigue lives. Motivated by the possibility to reduce the uncertainty associated with complex multi-parameter probabilistic fracture mechanical models, a so-called normalized fatigue crack growth model was suggested by Tychsen (2017). In this model, the main uncertainty associated with the fatigue crack growth is captured in only one parameter. In the present contribution, we address this new approach for the modeling of fatigue crack growth from the perspective of how to best estimate its parameters based on experimental evidence. To this end, parametric Bayesian hierarchical models are formulated taking basis in modern big data analysis techniques. The proposed probabilistic modeling scheme is presented and discussed through an example considering fatigue crack growth of welds in K-joints. Finally, it is shown how the developed probabilistic crack growth model may be applied as basis for risk-based inspection and maintenance planning.

A uniaxial tensile behavior based fatigue crack growth model

2020 ◽  
Vol 131 ◽  
pp. 105324 ◽  
Author(s):  
S.C. Wu ◽  
C.H. Li ◽  
Y. Luo ◽  
H.O. Zhang ◽  
G.Z. Kang
Keyword(s):  
Fatigue Crack ◽  
Fatigue Crack Growth ◽  
Crack Growth ◽  
Growth Model ◽  
Tensile Behavior ◽  
Uniaxial Tensile ◽  
Behavior Based ◽  
Crack Growth Model
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