A prediction model for chloride-ion ingress in concrete sleepers

IF 0.9 4区 工程技术 Q4 CONSTRUCTION & BUILDING TECHNOLOGY PCI Journal Pub Date : 2023-01-01 DOI:10.15554/pcij68.1-02
M. Esmaeili, S. Kaviani, Farzad Farivar
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Abstract

There are approximately 600 km (370 mi) of railway passing through the desert areas in Iran. One of the important challenges associated with the degradation of railway structures in desert areas is chloride-ion invasion of the concrete, which causes the corrosion and swelling of bars, leading to the total destruction of concrete sleepers. Although numerous studies have been conducted on the prediction of bar corrosion in various reinforced concrete structures, there is no specific study on the prediction of bar corrosion in B70 concrete sleepers. This study investigates chloride diffusion in concrete sleepers and develops a prediction model using field and laboratory measurements. Sample profiles were taken from the Bam–Zahedan railway line for the determination of diffusion coefficients and initial and surface chloride contents. The early-age diffusion coefficient in concrete samples was obtained, and a prediction model was developed based on these parameters. Finally, a sensitivity analysis was performed in order to investigate the influential parameters on the initiation time of the corrosion. The results indicate that the effects of the chloride diffusion coefficient and the concrete cover were the leading factors in the corrosion initiation time.
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混凝土枕木中氯离子进入的预测模型
有大约600公里(370英里)的铁路穿过伊朗的沙漠地区。与沙漠地区铁路结构退化相关的重要挑战之一是氯离子侵入混凝土,导致钢筋腐蚀和膨胀,导致混凝土枕木完全破坏。尽管对各种钢筋混凝土结构中钢筋锈蚀的预测进行了大量的研究,但对B70混凝土枕木中钢筋锈蚀的预测还没有具体的研究。本研究探讨氯化物在混凝土枕木中的扩散,并利用现场和实验室测量建立预测模型。在巴姆-扎黑丹铁路线上采集了样品剖面,测定了扩散系数、初始和表面氯化物含量。得到了混凝土试样的早期扩散系数,并建立了基于这些参数的预测模型。最后进行了敏感性分析,探讨了影响腐蚀起始时间的参数。结果表明,氯离子扩散系数和混凝土覆盖层是影响腐蚀起始时间的主要因素。
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来源期刊
PCI Journal
PCI Journal 工程技术-结构与建筑技术
自引率
9.10%
发文量
15
审稿时长
>12 weeks
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