"Reliability Analysis of Axially Compressed Steel Columns "

Madhusudhana Y B, L. Govindaraju
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Abstract

"In the past, the evaluation of the strength and safety of compressed steel columns has primarily relied on deterministic concepts. However, these concepts fail to account for the significant variability observed in buckling strength test results. This study aims to address this limitation by adopting a probabilistic approach to assess the buckling strength of steel columns; following the Indian standard specification IS 800-2007. In this investigation, the statistically variable nature of the material properties is considered by treating them as random variables and assuming a normal distribution. By incorporating this variability, a more comprehensive evaluation of the buckling strength can be achieved. The buckling strength of the steel column is computed using Merchant Rankine's formula, which takes into account deductive uncertainty. This formula considers various factors such as the slenderness ratio, live load to dead load ratio, and other relevant parameters to estimate the buckling strength of the column. Furthermore, the reliability of axially loaded columns is assessed using the First Order Second Moment (FOSM) technique. The effects of the slenderness ratio and the live load-to-dead load ratio on the reliability of the columns are specifically investigated and discussed. Overall, this study contributes to a more comprehensive understanding of the buckling strength of steel columns, incorporating statistical variability and providing insights into the reliability assessment of such structural elements."
轴向受压钢柱可靠性分析
“过去,对压缩钢柱的强度和安全性的评估主要依赖于确定性概念。然而,这些概念不能解释屈曲强度测试结果中观察到的显著变化。本研究旨在通过采用概率方法来评估钢柱的屈曲强度来解决这一限制;遵循印度标准规范IS 800-2007。在本研究中,通过将材料性能视为随机变量并假设正态分布来考虑材料性能的统计变量性质。通过结合这种变异性,可以对屈曲强度进行更全面的评估。钢柱的屈曲强度采用考虑演绎不确定性的Merchant Rankine公式计算。该公式考虑了长细比、活载与恒载比等多种因素以及其他相关参数来估算柱的屈曲强度。此外,利用一阶二阶矩(FOSM)技术对轴向荷载柱的可靠性进行了评估。详细研究了长细比和活载恒载比对柱可靠性的影响。总的来说,这项研究有助于更全面地了解钢柱的屈曲强度,结合统计变异性,并为此类结构元件的可靠性评估提供见解。”
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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