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

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


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.


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

List of symbols


Area of the concrete section


Area of the steel section


Diameter of circular cross-section


The thickness of the steel tube


Yield strength of the steel tube


Modulus of elasticity of steel


The characteristic concrete strength


The secant modulus of elasticity of concrete


The length of the column


Confined compressive strength of concrete


The coefficient of confinement of concrete


Unconfined compressive strength of concrete


Strength reduction factor introduced to the scale effect into consideration

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

The unconfined cylinder compressive strength of concrete


Diameter of the core



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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