Numerical analysis of fire-exposed reinforced concrete sections for assessing post-heating axial and flexural capacity

IF 0.9 Q4 CONSTRUCTION & BUILDING TECHNOLOGY
M. Gaikwad, Suvir Singh, N. Gopalakrishnan, Pradeep Bhargava, A. Chourasia
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Abstract

PurposeThis study investigates the impact of the fire decay phase on structural damage using the sectional analysis method. The primary objective of this work is to forecast the non-dimensional capacity parameters for the axial and flexural load-carrying capacity of reinforced concrete (RC) sections for heating and the subsequent post-heating phase (decay phase) of the fire.Design/methodology/approachThe sectional analysis method is used to determine the moment and axial capacities. The findings of sectional analysis and heat transfer for the heating stage are initially validated, and the analysis subsequently proceeds to determine the load capacity during the fire’s heating and decay phases by appropriately incorporating non-dimensional sectional and material parameters. The numerical analysis includes four fire curves with different cooling rates and steel percentages.FindingsThe study’s findings indicate that the rate at which the cooling process occurs after undergoing heating substantially impacts the axial and flexural capacity. The maximum degradation in axial and flexural capacity occurred in the range of 15–20% for cooling rates of 3 °C/min and 5 °C/min as compared to the capacity obtained at 120 min of heating for all steel percentages. As the fire cooling rate reduced to 1 °C/min, the highest deterioration in axial and flexural capacity reached 48–50% and 42–46%, respectively, in the post-heating stage.Research limitations/implicationsThe established non-dimensional parameters for axial and flexural capacity are limited to the analysed section in the study owing to the thermal profile, however, this can be modified depending on the section geometry and fire scenario.Practical implicationsThe study primarily focusses on the degradation of axial and flexural capacity at various time intervals during the entire fire exposure, including heating and cooling. The findings obtained showed that following the completion of the fire’s heating phase, the structural capacity continued to decrease over the subsequent post-heating period. It is recommended that structural members' fire resistance designs encompass both the heating and cooling phases of a fire. Since the capacity degradation varies with fire duration, the conventional method is inadequate to design the load capacity for appropriate fire safety. Therefore, it is essential to adopt a performance-based approach while designing structural elements' capacity for the desired fire resistance rating. The proposed technique of using non-dimensional parameters will effectively support predicting the load capacity for required fire resistance.Originality/valueThe fire-resistant requirements for reinforced concrete structures are generally established based on standard fire exposure conditions, which account for the fire growth phase. However, it is important to note that concrete structures can experience internal damage over time during the decay phase of fires, which can be quantitatively determined using the proposed non-dimensional parameter approach.
用于评估加热后轴向和挠曲承载力的受火钢筋混凝土截面数值分析
目的 本研究采用断面分析方法研究了火灾衰减阶段对结构破坏的影响。这项工作的主要目的是预测火灾加热阶段和随后的加热后阶段(衰减阶段)钢筋混凝土(RC)截面轴向和挠曲承载力的非尺寸承载力参数。首先对加热阶段的断面分析和热传导结果进行验证,然后通过适当加入非尺寸断面和材料参数进行分析,以确定火灾加热和衰减阶段的承载能力。数值分析包括四条具有不同冷却速率和钢材百分比的火灾曲线。研究结果研究结果表明,加热后冷却过程的速率会对轴向和挠曲承载力产生重大影响。与加热 120 分钟后的承载能力相比,在所有钢材百分比条件下,冷却速度为 3 °C/min 和 5 °C/min 时,轴向和弯曲承载能力的最大降幅为 15-20%。研究的局限性/意义由于热剖面的原因,轴向和挠曲承载力的既定非尺寸参数仅限于本研究中的分析截面,但可根据截面的几何形状和火灾情况进行修改。研究结果表明,火灾加热阶段结束后,结构承载能力在随后的加热后阶段继续下降。建议结构部件的耐火设计应包括火灾的加热和冷却阶段。由于承载能力的衰减随火灾持续时间而变化,传统方法不足以设计出适当的防火安全承载能力。因此,在设计结构构件的承载能力以达到所需的耐火等级时,必须采用基于性能的方法。原创性/价值钢筋混凝土结构的耐火要求通常是根据标准火灾暴露条件确定的,其中考虑了火灾生长阶段。然而,值得注意的是,混凝土结构在火灾的衰减阶段会随着时间的推移而出现内部损坏,这可以使用所提出的非尺寸参数方法来定量确定。
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来源期刊
Journal of Structural Fire Engineering
Journal of Structural Fire Engineering CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
2.20
自引率
10.00%
发文量
28
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