Probabilistic Prognosis of Fatigue Crack Growth Using Acoustic Emission Data

Zárate, Boris A.; Caicedo, Juan M.; Yu, Jing; Ziehl, Paul

doi:10.1061/(asce)em.1943-7889.0000414

Cited by 37 publications

(20 citation statements)

References 37 publications

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“…Hence, the form of correlation between AE parameters and the crack length occurs as a result of the consumption of the total amount of fracture energy (part of which was recorded as AE) required to propagate the single crack. Similar correlations between energy and crack length have been documented in metal specimens under cyclic loading . As observed in Fig.…”

Section: Resultssupporting

confidence: 86%

Crack Growth Monitoring in Ceramic Matrix Composites by Combined Infrared Thermography and Acoustic Emission

et al. 2013

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The current study proposes a novel methodology for measuring crack growth in composite materials using combined infrared thermography (IRT) and acoustic emission (AE). The technique is tested across a SiC‐fiber‐reinforced ceramic matrix composite while no apparent factor is limiting its usage on composite materials of different nature as well. Compact tension specimens were loaded in tension with unloading/reloading loops and the thermally dissipated energy due to crack growth and other damage mechanisms was captured by IRT with a 100 Hz sampling rate. Crack growth was established by identifying the time instances where the maximum temperature, hence also damage, occurred and then quantifying, by means of control lines, the damage span within the thermograph corresponding to the specific instance. The high accuracy of the proposed technique was validated against optical measurements of crack length. The theoretical crack length predicted by the elastic compliance technique was found to overestimate the experimental findings by at least 25%. Knowledge of the critical level of damage accumulation for material structural health was made possible from AE descriptors such as activity during the unloading part of the cycles. In this study, AE was particularly successful in closely following the actual crack growth measured by IRT, an observation that brings out the potential of the technique for quantitative measurements.

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Section: Resultssupporting

confidence: 86%

Crack Growth Monitoring in Ceramic Matrix Composites by Combined Infrared Thermography and Acoustic Emission

et al. 2013

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“…Acoustic NDE has been extensively used to interrogate material samples subjected to fatigue. Similar to thermal NDE methods, the redistribution of energy due to damage initiation and growth is associated with the release of stress waves that have been shown to be detectable across length scales and have been associated with a variety of fatigue‐induced damage processes such as crack initiation and growth …”

Section: Acoustic Nde Methods Used In Materials Fatiguementioning

confidence: 99%

The use of nondestructive evaluation methods in fatigue: A review

Wisner

Mazur

Kontsos

2020

Fatigue Fract Eng Mat Struct

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Efforts to understand fatigue in materials generally rely on defining relationships between the material response to fatigue loading and the evolving remaining material life portion. Typical measurements and data associated with such relationships include load (stress), displacement (strain), and associated properties (eg, mean stress and strain, energy dissipation, and residual stiffness). In addition to obtaining such measurements, efforts have been made to leverage nondestructive evaluation (NDE) methods to obtain additional information and enhance the description of the material fatigue response, especially its evolution due to interacting material‐microstructure‐property relationships. Given the range of available NDE methods and the number of materials they can be applied to, a critical overview of related investigations is presented in this article. Specifically, the state of the art of applying optical, thermal, acoustic, electromagnetic, X‐ray, and other diffraction NDE methods in fatigue investigations is provided and discussed. The methods are individually described for background and defining their relationship to fatigue, followed by descriptions of their current uses and contributions to enhancing the understanding of fatigue, and their limitations and ways that improvements could be made.

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“…Where Θ = [θ 1 , θ 2 , θ 3 ] are random variables which distributions are determined by the methodology [28]. The parameters Θ are non-physical random parameters that allow the technique to be applied to the case where measurements of the CT specimen are not known.…”

Section: Probabilistic Fatigue Life Prediction Using Ae Measurementsmentioning

confidence: 99%

“…Bayesian inference is used to calculate the posterior probability distribution function of the parameters given the AE data and the crack growth relationships presented previously [28]. The likelihood is calculated using the difference between the predictions based on the crack growth relationships and the actual AE data obtained.…”

Section: Probabilistic Fatigue Life Prediction Using Ae Measurementsmentioning

confidence: 99%

Deterministic and probabilistic fatigue prognosis of cracked specimens using acoustic emissions

Zárate¹,

Caicedo²,

Yu³

et al. 2012

Journal of Constructional Steel Research

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Probabilistic Prognosis of Fatigue Crack Growth Using Acoustic Emission Data

Cited by 37 publications

References 37 publications

Crack Growth Monitoring in Ceramic Matrix Composites by Combined Infrared Thermography and Acoustic Emission

Crack Growth Monitoring in Ceramic Matrix Composites by Combined Infrared Thermography and Acoustic Emission

The use of nondestructive evaluation methods in fatigue: A review

Deterministic and probabilistic fatigue prognosis of cracked specimens using acoustic emissions

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