Technical Papers
Jun 7, 2024

Optimized Interaction Equations for More Efficient Design of CFS Channels under Combined Compression and Biaxial Bending

Publication: Journal of Structural Engineering
Volume 150, Issue 8

Abstract

This study aims to develop optimized interaction equations for more efficient design of cold-formed steel (CFS) lipped channel beam-columns under combined compressive load and biaxial bending, aligned with the direct strength method (DSM). A comprehensive data set was first generated using detailed experimentally validated finite element (FE) models of over 500 CFS sections subjected to combined compression and uniaxial and biaxial bending moments while the effects of initial geometric imperfections and material nonlinearity were included. The compiled data set consisted of a range of key design variables, including cross-sectional geometry and element length, as well as combinations of compression and bending moments caused by various eccentricity levels in terms of direction and value. The results were subsequently utilized to evaluate the efficiency of the simplified interaction formula prescribed by the Australian/New Zealand Standard (AS/NZS-4600) and American Iron and Steel Institute (AISI-S100), as well as the extended DSM, in predicting the capacity of CFS lipped channel beam-column elements. It was demonstrated that, on average, using existing interaction equations may lead to a 32% error in the capacity predictions of CFS beam-column members. Following a reliability analysis, a new interaction expression was developed with optimized parameters using DSM nominal pure strength values. For the first time, different exponent parameters were proposed for minor- and major-axes bending, which resulted in a considerable improvement in the accuracy of the beam-column strength predictions compared to the existing methods.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request including details of optimization generations, cross-sectional properties, and the member capacities.

Acknowledgments

We would like to express our sincere acknowledgement to Professor Gregory Hancock whose constructive comments and pieces of advice greatly contributed to this research study. The first author would also like to acknowledge gratefully the University of Auckland for providing financial support through a University of Auckland Doctoral Scholarship.

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 150Issue 8August 2024

History

Received: Jul 27, 2023
Accepted: Jan 29, 2024
Published online: Jun 7, 2024
Published in print: Aug 1, 2024
Discussion open until: Nov 7, 2024

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Maryam Hasanali [email protected]
Ph.D. Researcher, Dept. of Civil and Environmental Engineering, Univ. of Auckland, 262 Khyber Pass Rd., Auckland 1023, New Zealand (corresponding author). Email: [email protected]
Seyed Mohammad Mojtabaei [email protected]
Assistant Professor, School of Architecture, Building, and Civil Engineering, Loughborough Univ., Leicestershire 3216, UK. Email: [email protected]
James B. P. Lim [email protected]
Professor, School of Engineering, Univ. of Waikato, Hamilton, Knighton Rd., Hillcrest, Hamilton LE11 1EX, New Zealand. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Auckland, 20 Symonds St., Auckland 1023, New Zealand. ORCID: https://orcid.org/0000-0003-0723-1699. Email: [email protected]
Professor, Dept. of Civil and Structural Engineering, Univ. of Sheffield, Sheffield S1 3JD, UK. ORCID: https://orcid.org/0000-0003-2597-8200. Email: [email protected]

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