A. Fernández-Canteli , D. Díaz-Salamanca , E. Castillo , S. Blasón , M. Muñiz-Calvente
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引用次数: 0
Abstract
A phenomenological unitary methodology is applied for the analytical deduction of the Fatigue Crack Growth Rate () curve. It encompasses: First, the analytical definition of the curve from the data recorded in the crack growth test, identified as a Weibull cumulative distribution function (cdf) by applying the retro-extrapolation (REX) model. Second, the identification of the data as a relation between the curve and the conventional expression of the maximum stress intensity factor, , as combining the stress condition, crack length and specimen geometry. Lastly, the identification of the normalized curve, as a Gumbel cdf, according to the model of Castillo et al. The methodology thus applied ensures an improved estimation of both lower and higher asymptotic values, and , respectively, and a more reliable definition of the curve, even outside the monitored test data. In this way, a robust fatigue crack propagation characterization of the material is achieved for lifetime prediction of components and structures in the damage tolerance design. The satisfactory fit obtained from external crack growth results proves the suitability of the procedure in the solution of this kind of mechanism of failure.
期刊介绍:
Typical subjects discussed in International Journal of Fatigue address:
Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements)
Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading
Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions
Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions)
Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects
Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue
Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation)
Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering
Smart materials and structures that can sense and mitigate fatigue degradation
Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.