Predicting the web crippling capacity of cold-formed steel lipped channels using hybrid machine learning techniques
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Shahin, Ramy I 
ORCID: 0000-0002-4795-8545, Ahmed, Mizan ORCID: 0000-0001-5499-3181, Liang, Qing ORCID: 0000-0003-0333-2265 and Yehia, Saad A
(2024)
Predicting the web crippling capacity of cold-formed steel lipped channels using hybrid machine learning techniques.
Engineering Structures, 309.
ISSN 0141-0296
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/48872 |
| DOI | 10.1016/j.engstruct.2024.118061 |
| Official URL | https://www.sciencedirect.com/science/article/pii/... |
| Subjects | Current > FOR (2020) Classification > 4005 Civil engineering Current > Division/Research > College of Science and Engineering |
| Keywords | cold-formed steel lipped channels; web crippling; machine learning; artificial neural network; genetic algorithm; particle swarm algorithm; finite element analysis |
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