Sun, J., Li, P. and Susmel, L. orcid.org/0000-0001-7753-9176 (2023) The theory of critical distances for random vibration fatigue life analysis of notched specimens. Fatigue and Fracture of Engineering Materials and Structures, 46 (10). pp. 3610-3621. ISSN 8756-758X
Abstract
In this paper, the Theory of Critical Distances (TCD) is reformulated to be employed to estimate random vibration fatigue lifetime of notched components. Using the Point Method argument, the response stress at the critical distance from the notch root is taken as the damage parameter and then used to perform the vibration fatigue life analysis in the presence of geometrical features. First, the finite element simulation is conducted to obtain the response Mises stress power spectrum at the critical distance under the load excitation being investigated. Subsequently, the probability density distribution of the stress amplitude at this position is calculated. Finally, fatigue lifetime is predicted via the parent material S–N curve. In order to check the accuracy of the proposed reformulation of the TCD, a series of random vibration fatigue results were generated by testing notched aluminum alloy specimens under load spectra covering the first-, second-, and third-order natural frequencies. The results from the vibration fatigue tests being performed are seen to be in sound agreement with the predicted lifetimes. This strongly support the idea that the TCD is successful also in predicting random vibration fatigue lifetime of notched components.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 John Wiley & Sons Ltd. This is an author-produced version of a paper subsequently published in Fatigue and Fracture of Engineering Materials and Structures. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Critical Distance; Random vibration fatigue; Aluminum alloy; Notch; Mises stress spectrum |
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) |
Funding Information: | Funder Grant number National Natural Science Foundation of China 52075244 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Jun 2023 09:33 |
Last Modified: | 04 Oct 2024 11:42 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1111/ffe.14088 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:199944 |