Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/140498
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Type: Journal article
Title: Experimental Data-Driven approach for the evaluation of crack tip opening loads under variable amplitude loading
Author: Kotousov, A.
Hughes, J.
Khanna, A.
Moreno, B.
Wallbrink, C.
Citation: International Journal of Fatigue, 2024; 180:108108-1-108108-11
Publisher: Elsevier BV
Issue Date: 2024
ISSN: 0142-1123
1879-3452
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Responsibility: 
Andrei Kotousov, James Hughes, Aditya Khanna, Belen Moreno, Chris Wallbrink
Abstract: In this paper, we present a new data-driven approach for the evaluation of crack tip opening load (Pop) values under variable amplitude loading. These values are analysed for CT specimens manufactured from common aircraft grade aluminium alloys and subjected to several load sequences, all of which have a relatively high Rratio content without significant overloads and underloads. Direct experimental measurements and outcomes of numerical simulations indicate that the Pop change abruptly from cycle to cycle. For this type of fatigue loading (including a military transport aircraft load spectrum with more than 400,000 turning points) and materials, it was found that Pop is well described by a linear function of the preceding minimum and maximum values of the applied loading. This finding provides a new simple way to evaluate the effective stress intensity factor range, which is often considered as a fatigue crack driving force. It is also verified via the use of machine learning that the proposed approach is capable of predicting the mean stress (R-ratio) effect on Pop for block loading. Therefore, the developed data-driven approach is a promising alternative to the computational methods, which currently dominate advanced fatigue life assessment procedures.
Keywords: Data-driven approach; Crack closure; Variable amplitude loading; Crack tip opening load; Effective stress intensity factor range, CT; specimen
Rights: © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
DOI: 10.1016/j.ijfatigue.2023.108108
Grant ID: http://purl.org/au-research/grants/arc/DP240103201
Published version: http://dx.doi.org/10.1016/j.ijfatigue.2023.108108
Appears in Collections:Research Outputs

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