2024 : 4 : 27
Mahdi Nematzadeh

Mahdi Nematzadeh

Academic rank: Professor
ORCID: 0000-0002-8065-0542
Education: PhD.
ScopusId: 36198613700
Faculty: Faculty of Technology and Engineering
Address:
Phone: 011-35302903

Research

Title
Compression behavior of the concrete-filled double skin steel tube columns under hydrostatic pressure: Experimental and modeling study
Type
JournalPaper
Keywords
Concrete-filled double-skin tubes Diameter-to-thickness ratio Hydrostatic pressure Active confinement Expression-based machine learning model
Year
2023
Journal Structures
DOI
Researchers Seyed Tohid Nemati ، morteza naghipour ، Javad Vaseghi Amiri ، Mahdi Nematzadeh

Abstract

This paper conducted an experimental study focusing on the axial compressive behavior of circular concrete-encased concrete-filled steel tubular (CFDST) columns composed of a circular inner steel tube under active confinement. The investigation aimed to explore the impact of concrete compressive strength grades and diameter-to-thickness ratio of steel tubes in the presence of hydrostatic pressure. The effects of varying outer diameter-to-thickness ratios (44, 45.6, 85.84, and 86) and concrete compressive strength grades (10 and 20 MPa) on the performance of CFDST columns were investigated in this paper. Additionally, the study considered the impact of two inner steel tube diameter-to-thickness ratios (20.5 and 39). The experimental results demonstrated that external pressure can significantly enhance both the load-carrying capacity and ductility of the specimens. The ultimate strength of the columns was improved by a minimum of 34% and a maximum of 92%. Finally, empirical formulas for predicting the axial compression capacity of CFDST under active confinement using gene expression programming were presented. The accuracy of the proposed model was then assessed by the artificial neural network, and the results indicate that both models perform well when compared to the empirical equations that take into account the hydrostatic pressure of wet concrete.