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Improved predictive model to the cross-sectional resistance of CFT

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Abstract

This paper proposes an improved theoretical prediction equation for Concrete-filled steel tubes (CFT) subjected to compressive forces. This ultimate load capacity is inferred from a database of 344 experimental results reported in the literature by using Gene expression programming (GEP). Moreover, a series of structural comparisons between design provisions, other mechanically-derived expressions and the proposed prediction are addressed. The levels of accuracy, practical use and phenomenological understanding of the phenomenon are pinpointed. The results obtained are in good agreement with both the experimental and theoretical predictions. Advantages and disadvantages of such type of predictions are pinpointed.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, Birjand University of Technology, P.O. Box 97175-569, Birjand, Iran

    Iman Mansouri

  2. Department of Civil and Environmental Engineering, School of Civil Engineering, Technical University of Catalonia, Barcelona, Spain

    Rolando Chacón

  3. Department of Civil and Environmental Engineering, Incheon National University, 12-1 Songdo-dong, Yeonsu-gu, Incheon, 406-840, Korea

    Jong Wan Hu

  4. Incheon Disaster Prevention Research Center, Incheon National University, 12-1 Songdo-dong, Yeonsu-gu, Incheon, 22012, Korea

    Jong Wan Hu

Authors
  1. Iman Mansouri
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  2. Rolando Chacón
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  3. Jong Wan Hu
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Corresponding author

Correspondence to Jong Wan Hu.

Additional information

Recommended by Associate Editor Jaewook Lee

Iman Mansouri received his Ph.D. degree from Department of Civil Engineering in Shahid Bahonar University of Kerman. Currently, he has been an Assistant Professor at Department of Civil Engineering, Birjand University of Technology. His research interests are in the area of nonlinear structural analysis, earthquake engineering, seismic retrofitting, performance-based design and soft computing methods.

Rolando Chacón received his M.S. and Ph.D. degrees from Department of Civil and Environmental Engineering in Technical University of Catalonia. Currently, he is an Associate Professor at the Chair of Steel Structures of the School of Civil Engineering. His research interests are in the area of instability and ductility of steel and composite structures, numerical and experimental methods in structural analysis and innovative teaching in structural engineering. He is an active member of technical committees of ECCS.

Jong Wan Hu received his M.S. degrees from (1) G.W.W. School of Mechanical Engineering and (2) School of Civil and Environmental Engineering, respectively, in Georgia Institute of Technology, USA. He then received his Ph.D. degree from School of Civil and Environmental Engineering, Georgia Institute of Technology, USA. He has been Post-Doctorate Research Fellow at Structural, Mechanics, and Material Research Group in Georgia Institute of Technology. He also worked as an Associate Research Fellow at the Korea Institute of S&T Evaluation and Planning (KISTEP) and an Assistant Administrator at the National S&T Council (NSTC) for two years. He is currently an Associate Professor in the Incheon National University. He has been active in the member of ASME and ASCE. His research interests are in the area of computational solid mechanics, composite materials, and plasticity modeling.

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Mansouri, I., Chacón, R. & Hu, J.W. Improved predictive model to the cross-sectional resistance of CFT. J Mech Sci Technol 31, 3887–3895 (2017). https://doi.org/10.1007/s12206-017-0733-9

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  • DOI: https://doi.org/10.1007/s12206-017-0733-9

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