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Determination of the concrete chloride diffusion coefficient based on an electrochemical test and an optimization model

机译:基于电化学测试和优化模型的混凝土氯离子扩散系数的确定

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摘要

The chloride diffusion coefficient is an indication of the capacity of any type of concrete to resist chloride penetration and is used to predict the service life of reinforced concrete structures. Its determination has been subject of intense study in the last 50 years and today there is no complete agreement in the methodologies used. In addition, its experimental determination is time and recourse consuming. As alternative, this article presents a new methodology to find the fundamental properties of concrete including the diffusion coefficients. From the measurement of the electrical properties of concrete during a migration test and using and integrated physical-neural network model the chloride related properties can be found. Results of experiments of normal diffusion were compared with the results of the new methodology and gave encouraging results.
机译:氯离子扩散系数是任何类型混凝土抗氯离子渗透能力的指标,可用于预测钢筋混凝土结构的使用寿命。在过去的50年中,对它的确定一直进行了深入的研究,而今天在使用的方法上还没有完全一致。另外,其实验确定是费时和费力的。作为替代方案,本文提出了一种新的方法来寻找混凝土的基本特性,包括扩散系数。通过在迁移测试过程中测量混凝土的电性能,并使用集成的物理神经网络模型,可以发现与氯化物有关的性能。正常扩散实验的结果与新方法的结果进行了比较,并给出了令人鼓舞的结果。

著录项

  • 来源
    《Materials Chemistry and Physics.》 |2009年第3期|536-543|共8页
  • 作者单位

    Departamento de Ingenieria Civil, Universidad National, Bogota, Colombia Coventry University, Research room JL 118, Priory Street, Coventry CV1 5FB, UK;

    Materials Applied Research Group, Coventry University COV 5FB, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    concrete; diffusion; chloride migration; neural networks;

    机译:具体;扩散;氯化物迁移神经网络;

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