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January 23, 2026International Journal of Steel Structures0 citationsOpen Access

Towards a General Design Method for Thin-walled Lipped Channel Columns

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GSGuilherme C. Salles

Key Points

  • The aim is to create a unified method for predicting the compressive strength of lipped channel columns.
  • Developed design curves for various buckling modes: local, distortional, and global.
  • Incorporated a novel approach that changes the order of buckling modes analysis.
  • Compared proposed design curves against extensive numerical data from simulations.
  • The proposed equations yield an average reliability of 1.014 for numerical to proposed strength ratios.
  • Resistance factor calculated at 0.914, indicating consistent accuracy across tests.
  • Unified procedure offers a comprehensive tool for assessing column strength across failure modes.

Abstract

Abstract This paper develops a unified method to predict the compressive strength of fixed-ended lipped channel columns. Using numerical data from different authors, novel design curves are calibrated for isolated buckling modes failure—local (L), distortional (D|) and global (G) buckling – as well as L-D and L-D-G interactive failure modes. The basis of the method is similar to the Direct Strength Method’s L-G treatment, in which the resistance related to each buckling mode affects the slenderness rate of the next mode to be verified. The main difference are the order of the modes for the calculations, from the mode with most post-buckling reserve (L) to the mode with least post-buckling reserve (G), and the inclusion of the distortional mode in the process. The proposed design curves are then compared to a large data of failure loads from numerical simulations. The preliminary results for 1493 numerical columns show that the proposed set of equations are reliable (average results for f u, numerical /f proposed are 1.014 ± 0.067, resistance factor ϕ = 0.914) and provide a unified procedure to obtain the ultimate strength of columns undergoing different failures modes.

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Cite This Study

Guilherme C. Salles (2026) studied this question.

synapsesocial.com/papers/69731022c8125b09b0d1fedahttps://doi.org/10.1007/s13296-025-01017-8
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