首页> 外文期刊>International journal of steel structures >Residual Strength of Steel-Reinforced Concrete-Filled Square Steel Tubular (SRCFST) Stub Columns After Exposure to ISO-834 Standard Fire
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Residual Strength of Steel-Reinforced Concrete-Filled Square Steel Tubular (SRCFST) Stub Columns After Exposure to ISO-834 Standard Fire

机译:暴露于ISO-834标准火灾中的钢筋混凝土方形钢管(SRCFST)短柱的残余强度

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Steel-reinforced concrete-filled square steel tubular (SRCFST) column has been acknowledged as a progressive form from the steel-concrete composite system, having a higher load-bearing capacity. Aiming at lying the foundations for SRCFST full-scale research after fire exposure, this paper has studied the axial compression behavior of SRCFST stub columns after different modes of fire exposure. To start with, temperature distributions, failure patterns and load-strain relationships of four existing SRCFST columns were experimentally analyzed. Based on this, numerical models of square SRCFST columns with sufficient correctness and effectiveness were established for further holistically examining impacts of fire duration time, yield strength of steel tube, compressive strength of concrete, confinement index, section steel index and sectional dimensions on residual strength of SRCFST columns. The results indicate that residual strength of square SRCFST columns decrease significantly with fire duration time, sectional dimensions and section steel index, while yield strength of steel, compressive strength of concrete and confinement index exert negligible effects. Afterwards, predictive formulas that can calculate residual strength index of square SRCFST columns under different patterns of fire exposure were proposed.
机译:钢筋混凝土方形钢管柱(SRCFST)被认为是钢-混凝土复合系统的渐进形式,具有更高的承载能力。为奠定SRCFST火灾后全面研究的基础,研究了SRCFST短柱在不同火灾模式下的轴向压缩行为。首先,通过实验分析了四个现有SRCFST柱的温度分布,破坏模式和载荷-应变关系。在此基础上,建立了具有足够正确性和有效性的方形SRCFST柱数值模型,以进一步从整体上研究火灾持续时间,钢管屈服强度,混凝土抗压强度,约束指数,型钢指数和截面尺寸对残余强度的影响。 SRCFST列。结果表明,方形SRCFST柱的残余强度随着火灾持续时间,截面尺寸和截面钢指数的降低而显着降低,而钢的屈服强度,混凝土的抗压强度和约束指数的影响可忽略不计。之后,提出了可以计算出不同暴露方式下方形SRCFST柱残余强度指标的预测公式。

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