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 in | Engineering fracture mechanics Vol. 311; p. 110540 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
25.11.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0013-7944 1873-7315 |
| DOI | 10.1016/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%.
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•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. |
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| 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 |
| Author_xml | – sequence: 1 givenname: Mario surname: Messiha fullname: Messiha, Mario email: mario.messiha@pccl.at organization: Polymer Competence Center Leoben GmbH, 8700 Leoben, Austria – sequence: 2 givenname: Johannes orcidid: 0000-0002-0956-7420 surname: Wiener fullname: Wiener, Johannes email: johannes.wiener@unileoben.ac.at organization: Materials Science and Testing of Polymers, Montanuniversitaet Leoben, 8700 Leoben, Austria – sequence: 3 givenname: Florian orcidid: 0000-0003-4638-0849 surname: Arbeiter fullname: Arbeiter, Florian email: florian.arbeiter@unileoben.ac.at organization: Materials Science and Testing of Polymers, Montanuniversitaet Leoben, 8700 Leoben, Austria – sequence: 4 givenname: Gerald surname: Pinter fullname: Pinter, Gerald email: gerald.pinter@unileoben.ac.at organization: Materials Science and Testing of Polymers, Montanuniversitaet Leoben, 8700 Leoben, Austria |
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| Keywords | Reversed engineering approach Numeric algorithm Paris’ law Fracture mechanics Crack growth kinetics Cracked Round Bar (CRB) test |
| Language | English |
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| 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 |
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