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A framework for automating the parameter determination of crack growth models

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Title: A framework for automating the parameter determination of crack growth models
Authors: Iliopoulos, A
Michopoulos, JG
Jones, R
Kinloch, AJ
Peng, D
Item Type: Journal Article
Abstract: Motivated by the need for an efficient fatigue crack growth prediction infrastructure for both legacy and novel materials, we have initiated the development of an automated computational framework capable of determining crack growth model parameters for an equationally defined model. As a first step in addressing this need, the present paper focuses on the Hartman-Schijve crack growth variant of the NASGRO equation by exploring and comparing various global optimization methods for parameter determination and evaluating their performance by using both synthetic and actual data. It also introduces the concept of the total least-squares minimization criterion within the context of crack growth modeling. The development of an open-source software library and an application implementing the approach are also described and are available for distribution to the technical community.
Issue Date: Apr-2023
Date of Acceptance: 23-Dec-2022
URI: http://hdl.handle.net/10044/1/101468
DOI: 10.1016/j.ijfatigue.2022.107490
ISSN: 0142-1123
Publisher: Elsevier BV
Start Page: 1
End Page: 16
Journal / Book Title: International Journal of Fatigue
Volume: 169
Copyright Statement: Copyright © 2022 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication Status: Published
Article Number: 107490
Online Publication Date: 2022-12-27
Appears in Collections:Mechanical Engineering



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