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首页> 外文期刊>Journal of Materials Engineering and Performance >Sensitivity Analysis of Corrosion Rate Prediction Models Utilized for Reinforced Concrete Affected by Chloride
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Sensitivity Analysis of Corrosion Rate Prediction Models Utilized for Reinforced Concrete Affected by Chloride

机译：氯化物对钢筋混凝土腐蚀速率预测模型的敏感性分析。

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摘要

Chloride-induced reinforcement corrosion is one of the major causes of premature deterioration in reinforced concrete (RC) structures. Given the high maintenance and replacement costs, accurate modeling of RC deterioration is indispensable for ensuring the optimal allocation of limited economic resources. Since corrosion rate is one of the major factors influencing the rate of deterioration, many predictive models exist. However, because the existing models use very different sets of input parameters, the choice of model for RC deterioration is made difficult. Although the factors affecting corrosion rate are frequently reported in the literature, there is no published quantitative study on the sensitivity of predicted corrosion rate to the various input parameters. This paper presents the results of the sensitivity analysis of the input parameters for nine selected corrosion rate prediction models. Three different methods of analysis are used to determine and compare the sensitivity of corrosion rate to various input parameters: (i) univariate regression analysis, (ii) multivariate regression analysis, and (iii) sensitivity index. The results from the analysis have quantitatively verified that the corrosion rate of steel reinforcement bars in RC structures is highly sensitive to corrosion duration time, concrete resistivity, and concrete chloride content. These important findings establish that future empirical models for predicting corrosion rate of RC should carefully consider and incorporate these input parameters.
机译：氯化物引起的钢筋腐蚀是钢筋混凝土（RC）结构过早劣化的主要原因之一。鉴于高昂的维护和更换成本，为确保最佳分配有限的经济资源，精确建模RC劣化是必不可少的。由于腐蚀速率是影响劣化速率的主要因素之一，因此存在许多预测模型。但是，由于现有模型使用的输入参数集非常不同，因此很难选择用于RC劣化的模型。尽管影响腐蚀速率的因素在文献中经常报道，但尚无关于预测腐蚀速率对各种输入参数的敏感性的公开定量研究。本文介绍了九种选定腐蚀速率预测模型的输入参数敏感性分析的结果。三种不同的分析方法用于确定和比较腐蚀速率对各种输入参数的敏感性：（i）单变量回归分析，（ii）多元回归分析和（iii）敏感性指数。分析结果定量验证了钢筋混凝土结构中钢筋的腐蚀速率对腐蚀持续时间，混凝土电阻率和混凝土氯化物含量高度敏感。这些重要发现表明，未来用于预测RC腐蚀速率的经验模型应仔细考虑并纳入这些输入参数。

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