This is a repository copy of Predicting the buckling behaviour of thin-walled structural elements using machine learning methods. White Rose Research Online URL for this paper: https://eprints.whiterose.ac.uk/196054/ Version: Published Version Article: Mojtabaei, S.M. orcid.org/0000-0002-4876-4857, Becque, J., Hajirasouliha, I. orcid.org/0000-0003-2597-8200 et al. (1 more author) (2023) Predicting the buckling behaviour of thin-walled structural elements using machine learning methods. Thin-Walled Structures, 184. 110518. ISSN 0263-8231 https://doi.org/10.1016/j.tws.2022.110518 [email protected] https://eprints.whiterose.ac.uk/ Reuse This article is distributed under the terms of the Creative Commons Attribution (CC BY) licence. This licence allows you to distribute, remix, tweak, and build upon the work, even commercially, as long as you credit the authors for the original work. More information and the full terms of the licence here: https://creativecommons.org/licenses/ Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request.
Predicting the buckling behaviour of thin-walled structural elements using machine learning methods
May 20, 2023
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