Data-driven evaluation of the Paris’ law parameters in polyethylene pipe grades — Increasing the precision of fracture mechanical lifetime estimation

The Paris’ Law parameters A and m are a necessity for predicting lifetimes of structural components under static or fatigue loading that fail due to crack initiation and propagation. Conventional methods require measurements of crack growth kinetics that involve direct or indirect monitoring of phys...

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Published inEngineering fracture mechanics Vol. 311; p. 110540
Main Authors Messiha, Mario, Wiener, Johannes, Arbeiter, Florian, Pinter, Gerald
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 25.11.2024
Subjects
Online AccessGet full text
ISSN0013-7944
1873-7315
DOI10.1016/j.engfracmech.2024.110540

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Abstract The Paris’ Law parameters A and m are a necessity for predicting lifetimes of structural components under static or fatigue loading that fail due to crack initiation and propagation. Conventional methods require measurements of crack growth kinetics that involve direct or indirect monitoring of physical crack extension during long-term experiments. Usually, measurement series also involve multiple specimens in order to obtain a crack growth controlled failure diagram of an investigated material under relevant load conditions. In this contribution a combination of simple numerical, statistical and analytical approaches is presented to obtain A and m without the need to measure actual crack growth. This is accomplished by reformulating the Paris’ Law to express A as a function of m. The parameter m is varied within a reasonable range to generate an analytical function for A that solves the equation of the Paris’ Law based lifetime for a single specimen. A subsequent superposition of all available specimens reveals an intersection of all A functions at the technically relevant pair of A and m values that are capable of describing the lifetime of all specimens with a minimum error. The obtained best-fitting A and m are in good agreement with literature and are able to predict the lifetime of previously published sample data based upon cyclic Cracked Round Bar test results with an average error of 3.30 ± 2.67%. [Display omitted] •The Paris’ Law is reformulated to obtain an analytical function in the form A = f (m).•Functions of multiple specimens form an intersection that determines best-fitting values for A and m.•These “best-fit” parameters can predict Slow Crack Growth with average errors as low as 3%.•Proposed solution does not require a continuous monitoring of the physical crack growth during long-term (fatigue or static) measurements.•Proposed solution allows for an objective, user-independent evaluation of crack kinetics.
AbstractList The Paris’ Law parameters A and m are a necessity for predicting lifetimes of structural components under static or fatigue loading that fail due to crack initiation and propagation. Conventional methods require measurements of crack growth kinetics that involve direct or indirect monitoring of physical crack extension during long-term experiments. Usually, measurement series also involve multiple specimens in order to obtain a crack growth controlled failure diagram of an investigated material under relevant load conditions. In this contribution a combination of simple numerical, statistical and analytical approaches is presented to obtain A and m without the need to measure actual crack growth. This is accomplished by reformulating the Paris’ Law to express A as a function of m. The parameter m is varied within a reasonable range to generate an analytical function for A that solves the equation of the Paris’ Law based lifetime for a single specimen. A subsequent superposition of all available specimens reveals an intersection of all A functions at the technically relevant pair of A and m values that are capable of describing the lifetime of all specimens with a minimum error. The obtained best-fitting A and m are in good agreement with literature and are able to predict the lifetime of previously published sample data based upon cyclic Cracked Round Bar test results with an average error of 3.30 ± 2.67%. [Display omitted] •The Paris’ Law is reformulated to obtain an analytical function in the form A = f (m).•Functions of multiple specimens form an intersection that determines best-fitting values for A and m.•These “best-fit” parameters can predict Slow Crack Growth with average errors as low as 3%.•Proposed solution does not require a continuous monitoring of the physical crack growth during long-term (fatigue or static) measurements.•Proposed solution allows for an objective, user-independent evaluation of crack kinetics.
ArticleNumber 110540
Author Pinter, Gerald
Messiha, Mario
Wiener, Johannes
Arbeiter, Florian
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Keywords Reversed engineering approach
Numeric algorithm
Paris’ law
Fracture mechanics
Crack growth kinetics
Cracked Round Bar (CRB) test
Language English
License This is an open access article under the CC BY license.
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Snippet The Paris’ Law parameters A and m are a necessity for predicting lifetimes of structural components under static or fatigue loading that fail due to crack...
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StartPage 110540
SubjectTerms Crack growth kinetics
Cracked Round Bar (CRB) test
Fracture mechanics
Numeric algorithm
Paris’ law
Reversed engineering approach
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Title Data-driven evaluation of the Paris’ law parameters in polyethylene pipe grades — Increasing the precision of fracture mechanical lifetime estimation
URI https://dx.doi.org/10.1016/j.engfracmech.2024.110540
https://doi.org/10.1016/j.engfracmech.2024.110540
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