Explainable machine learning models for predicting the ultimate bending capacity of slotted perforated cold-formed steel beams under distortional buckling: Fid-Bau Portal

Explainable machine learning models for predicting the ultimate bending capacity of slotted perforated cold-formed steel beams under distortional buckling

Simwanda, L. / Gatheeshgar, P. / Ilunga, F.M. / Ikotun, B.D. / Mojtabaei, S.M. / Onyari, E.K.

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Explainable machine learning models for predicting the ultimate bending capacity of slotted perforated cold-formed steel beams under distortional buckling

Simwanda, L. / Gatheeshgar, P. / Ilunga, F.M. / Ikotun, B.D. / Mojtabaei, S.M. / Onyari, E.K.

Explainable machine learning models for predicting the ultimate bending capacity of slotted perforated cold-formed steel beams under distortional buckling

Simwanda, L. / Gatheeshgar, P. / Ilunga, F.M. / Ikotun, B.D. / Mojtabaei, S.M. / Onyari, E.K.

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Titel:

Explainable machine learning models for predicting the ultimate bending capacity of slotted perforated cold-formed steel beams under distortional buckling

Weitere Titelangaben:

Thin-Walled Structures

Beteiligte:

Simwanda, L. (Autor:in) / Gatheeshgar, P. (Autor:in) / Ilunga, F.M. (Autor:in) / Ikotun, B.D. (Autor:in) / Mojtabaei, S.M. (Autor:in) / Onyari, E.K. (Autor:in)

Erschienen in:

Thin-Walled Structures ; 205 ; 112587

Erscheinungsdatum:

01.12.2024

ISSN:

0263-8231

DOI:

https://doi.org/10.1016/j.tws.2024.112587