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

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

The use of periodical elliptically-based web (EBW) openings in high strength steel (HSS) beams has been increasingly popular in recent years mainly because of the high strength-to-weight ratio and the reduction in the floor height as a result of allowing different utility services to pass through th...

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Bibliographic Details
Main Authors: Musab Rabi, Yazeed S. Jweihan, Ikram Abarkan, Felipe Piana Vendramell Ferreira, Rabee Shamass, Vireen Limbachiya, Konstantinos Daniel Tsavdaridis, Luis Fernando Pinho Santos
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Results in Engineering
Subjects:
Finite element modelling
Web-post buckling resistance
Elliptically-based web openings
High strength steel beams
Artificial neural network
Gene expression programming
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024000021

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http://www.sciencedirect.com/science/article/pii/S2590123024000021

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