Machine learning-driven web-post buckling resistance prediction for high-strength steel beams with elliptically-based web openings-Reference-Cited by-同舟云学术

Machine learning-driven web-post buckling resistance prediction for high-strength steel beams with elliptically-based web openings

Published:2024-03 Issue: Volume:21 Page:101749
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Rabi Musab^ORCID,Jweihan Yazeed S.,Abarkan Ikram,Ferreira Felipe Piana Vendramell,Shamass Rabee,Limbachiya Vireen,Tsavdaridis Konstantinos Daniel,Pinho Santos Luis Fernando

Publisher

Elsevier BV

Reference87 articles.

1. Advances in composite beams with web openings and composite cellular beams;Ferreira;J. Constr. Steel Res.,2020

2. Design of composite asymmetric cellular beams and beams with large web openings;Lawson;J. Constr. Steel Res.,2006

3. Structural Beam;Tsavdaridis,2012

4. Web-post buckling resistance calculation of perforated high-strength steel beams with elliptically-based web openings for EC3;Ferreira;Structures,2023

5. Lateral–torsional buckling resistance prediction model for steel cellular beams generated by Artificial Neural Networks (ANN);Ferreira;Thin-Walled Struct.,2022

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