Compressive behavior of elliptical concrete-filled steel tubular short columns using numerical investigation and machine learning techniques

Compressive behavior of elliptical concrete-filled steel tubular short columns using numerical investigation and machine learning techniques

Abstract This paper presents a non-linear finite element model (FEM) to predict the load-carrying capacity of three different configurations of elliptical concrete-filled steel tubular (CFST) short columns: double steel tubes with sandwich concrete (CFDST), double steel tubes with sandwich concrete...

Full description

Saved in:
Bibliographic Details
Main Authors: Hazem Samih Mohamed, Tang Qiong, Haytham F. Isleem, Rupesh Kumar Tipu, Ramy I. Shahin, Saad A. Yehia, Pradeep Jangir, Arpita, Mohammad Khishe
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Elliptical concrete-filled steel tubular
Load-carrying capacity
Eccentric loading
Machine learning models
XG-Boost model
Online Access:https://doi.org/10.1038/s41598-024-77396-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-024-77396-5

Similar Items