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Empirical Approach for Determining Axial Strength of Circular Concrete Filled Steel Tubular Columns

  • S. Jayalekshmi
  • J. S. Sankar Jegadesh
  • Abhishek Goel
Original Contribution

Abstract

The concrete filled steel tubular (CFST) columns are highly regarded in recent years as an interesting option in the construction field by designers and structural engineers, due to their exquisite structural performance, with enhanced load bearing capacity and energy absorption capacity. This study presents a new approach to simulate the capacity of circular CFST columns under axial loading condition, using a large database of experimental results by applying artificial neural network (ANN). A well trained network is established and is used to simulate the axial capacity of CFST columns. The validation and testing of the ANN is carried out. The current study is focused on proposing a simplified equation that can predict the ultimate strength of the axially loaded columns with high level of accuracy. The predicted results are compared with five existing analytical models which estimate the strength of the CFST column. The ANN-based equation has good prediction with experimental data, when compared with the analytical models.

Keywords

CFST columns Axial loading Artificial neural network Analytical models and column capacity 

List of symbols

Ac

Area of the concrete section

Ay

Area of the steel section

D

Diameter of circular cross-section

t

The thickness of the steel tube

fy

Yield strength of the steel tube

Ea

Modulus of elasticity of steel

fck

The characteristic concrete strength

Ec

The secant modulus of elasticity of concrete

L

The length of the column

fconf

Confined compressive strength of concrete

ηc

The coefficient of confinement of concrete

fcp

Unconfined compressive strength of concrete

ϒc

Strength reduction factor introduced to the scale effect into consideration

\({\text{f}}_{\text{c}}^{{\prime }}\)

The unconfined cylinder compressive strength of concrete

Dc

Diameter of the core

Notes

Acknowledgements

Technical supports for this study provided by the Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India, is gratefully acknowledged. The authors thank Government of India, Ministry of Human Resource Development—Department of Higher Education, for the Ph.D. scholarship given to the research scholar to carry out the research work.

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Copyright information

© The Institution of Engineers (India) 2018

Authors and Affiliations

  • S. Jayalekshmi
    • 1
  • J. S. Sankar Jegadesh
    • 1
  • Abhishek Goel
    • 1
  1. 1.Department of Civil EngineeringNational Institute of TechnologyTiruchirappalliIndia

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