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Validation of models for prediction of chloride ingress in concrete exposed in de-icing salt road environment

机译:除冰盐环境下暴露于混凝土中的氯化物预测模型的验证

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摘要

This paper presents the results from validation of models for prediction of chloride ingress in concrete exposed in de-icing salt road environment. Three models including the simple error-function complement (ERFC) model, the DuraCrete model and the ClinConc model, were evaluated using the measurement data collected from both the field exposure site after over ten years exposure and the real road bridges after 25-30 years in service. The sensitivity of input parameters in each model is analysed. The results show that, among different input parameters, the age factor is the most sensitive one. The simple ERFC model significantly overestimates chloride ingress. The DuraCrete model, if the input parameters are properly selected, may give a reasonably good prediction, otherwise often underestimates chloride ingress. The ClinConc model in general gives fairly good predictions for chloride ingress in de-icing salt road environment with heavy traffic at high speed.
机译:本文介绍了在除冰盐分道路环境中暴露的混凝土中氯离子侵入预测模型的验证结果。评估了三个模型,包括简单误差函数补码(ERFC)模型,DuraCrete模型和ClinConc模型,使用了从暴露十年以上的现场暴露地点和25-30年后的真实路桥收集的测量数据在服役。分析了每个模型中输入参数的敏感性。结果表明,在不同的输入参数中,年龄因子是最敏感的。简单的ERFC模型大大高估了氯化物的进入。如果正确选择了输入参数,则DuraCrete模型可能会给出合理的预测,否则通常会低估氯化物的进入。通常,ClinConc模型可以很好地预测高速交通繁忙的除冰盐道路环境中的除氯情况。

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