Prediction of shear capacity of steel channel sections using machine learning algorithms

This study presents the application of popular machine learning algorithms in prediction of the shear resistance of steel channel sections using experimental and numerical data. Datasets of 108 results of stainless steel lipped channel sections and 238 results of carbon steel LiteSteel sections were...

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Vydané v:	Thin-walled structures Ročník 175; s. 109152
Hlavní autori:	Dissanayake, Madhushan, Nguyen, Hoang, Poologanathan, Keerthan, Perampalam, Gatheeshgar, Upasiri, Irindu, Rajanayagam, Heshachanaa, Suntharalingam, Thadshajini
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.06.2022
Predmet:	Channel sections Design rules Machine learning Shear capacity Shear capacity Channel sections Design rules Machine learning
ISSN:	0263-8231, 1879-3223
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