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<p>This paper describes the development and validation of a computational framework to examine the rate-dependent behavior of steel columns subjected to fire temperatures (400&#xa0;°C to 1000&#xa0;°C). A unique set of data from elevated-temperature tension and creep tests on samples of ASTM A992 steel along with data from elevated-temperature buckling tests on ASTM A992 steel columns were used in the validation process. The material and column experiments were conducted under steady-state temperature conditions. The objective of the computational study was to validate the adequacy of the computational modeling approach to predict the impact of loading rate on the buckling capacity of steel columns at elevated temperatures and to provide additional insights into the rate- and temperature-dependent behavior of steel columns exposed to the loading and temperature conditions expected in structurally significant fires. The computational model of the steel columns accounted for both geometric and material nonlinearities. Specifically, the thermal creep of steel was explicitly included in the material characterization of steel at elevated temperatures. The paper demonstrates the advantage of defining the deformation behavior of steel explicitly as a function of time in predicting the impact of loading rate on both material and column response to high temperatures. For example, the reduction of the loading rate from 2.50&#xa0;mm/min to 0.05&#xa0;mm/min at 700&#xa0;°C resulted in the decrease in the yield stress and the ultimate stress of A992 steel by 45% and 35%, respectively. Lower loading rates also reduce the buckling capacity of A992 steel columns by 33% at 800&#xa0;°C, with more pronounced effects at lower slenderness ratios. The potential shortcomings of the current code treatment of the influence of loading rate on steel column capacity at elevated temperatures are further discussed.</p>

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Effect of Loading Rate on the Stability of Steel Columns at Elevated Temperatures

  • 期刊论文

  • 发表日期：

    2026年2月18日

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  • Abolfazl Yoosofpoor Avandari,
  • Mohammed A. Morovat,
  • Gholamreza Nouri,
  • Jafar Keyvani

摘要

This paper describes the development and validation of a computational framework to examine the rate-dependent behavior of steel columns subjected to fire temperatures (400 °C to 1000 °C). A unique set of data from elevated-temperature tension and creep tests on samples of ASTM A992 steel along with data from elevated-temperature buckling tests on ASTM A992 steel columns were used in the validation process. The material and column experiments were conducted under steady-state temperature conditions. The objective of the computational study was to validate the adequacy of the computational modeling approach to predict the impact of loading rate on the buckling capacity of steel columns at elevated temperatures and to provide additional insights into the rate- and temperature-dependent behavior of steel columns exposed to the loading and temperature conditions expected in structurally significant fires. The computational model of the steel columns accounted for both geometric and material nonlinearities. Specifically, the thermal creep of steel was explicitly included in the material characterization of steel at elevated temperatures. The paper demonstrates the advantage of defining the deformation behavior of steel explicitly as a function of time in predicting the impact of loading rate on both material and column response to high temperatures. For example, the reduction of the loading rate from 2.50 mm/min to 0.05 mm/min at 700 °C resulted in the decrease in the yield stress and the ultimate stress of A992 steel by 45% and 35%, respectively. Lower loading rates also reduce the buckling capacity of A992 steel columns by 33% at 800 °C, with more pronounced effects at lower slenderness ratios. The potential shortcomings of the current code treatment of the influence of loading rate on steel column capacity at elevated temperatures are further discussed.