Zhang, Y., Zhang, K. orcid.org/0000-0003-0997-0428, Hu, Z. et al. (6 more authors) (2023) A modified highly stressed volume (HSV) method to predict fatigue life considering the critical crack size. International Journal of Fatigue, 172. 107644. ISSN 0142-1123
Abstract
Fatigue life prediction is important in engineering design to ensure structural reliability. However, it is difficult to achieve an accurate fatigue life prediction from a smooth specimen to a notched specimen with the traditional Highly Stressed Volume (HSV) method, as it is based on just one empirical evaluation of the HSV. A modified HSV method is proposed in this study, which is combined with the concept of critical distance, and the critical crack size of smooth specimens is obtained by observing the fracture surface. The predicted P-S-N curves of single-notched specimens and multi-notched specimens show a good agreement with experimental data compared with the traditional HSV method and the Theory of Critical Distance method.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 Elsevier Ltd. This is an author produced version of a paper subsequently published in International Journal of Fatigue. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Fatigue life prediction; The crack initiation size; Critical distance; Highly stressed volume; Fracture surface |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 27 Mar 2023 13:14 |
Last Modified: | 20 Mar 2024 01:13 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.ijfatigue.2023.107644 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:197710 |