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Prediction of chloride profiles and discussion of time variant alterations

机译:预测氯化物谱与时变改变的讨论

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摘要

For a highway operator, such as ASFiNAG, bridges are very important assets. Despite all regular maintenance measures, these structures are strongly subjected to ageing and degradation, because of their exposure. Thus, leading to high maintenance expenditures. In Austria strong winters are obligatory and, therefore, de-icing measures are used for thawing. These substances contain chlorides, which are dissolved in water. Several elements of the bridges - especially the columns -are severely exposed. The exposure over many years leads to serious concrete degradation, depassivation of the rebars and pitting corrosion. The LA-ICP-MS (Laser Ablation Inductively Coupled Plasma Mass Spectrometry) method presented in this paper is a fast and reliable analysis strategy and a novel technique in terms determination the chloride content in the cement phase of existing concrete structures. The high accuracy and depth resolution of the chloride profiles enable a more precise data assessment for forecast models. For this purpose, chloride profiles were taken from a retaining wall at different heights in weekly intervals in the year 2016/2017 and in October of 2012. In conjunction with moisture monitoring and additional environmental data, as well as data from the de-icing salt deposit, it reveals important interrelations and dependencies to the measured profiles. This data enables new insight in the prediction of the development of the chloride profiles over time and depth. To apply the findings into practice, two analytical models were used to show the complexity and sensitivity of the derived input parameters.
机译:对于诸如Asfinag等公路运营商,桥梁是非常重要的资产。尽管所有定期的维护措施,但由于其暴露,这些结构强烈遭受老化和降解。因此,导致高维护支出。在奥地利,强有力的冬季是强制性的,因此,去冰措施用于解冻。这些物质含有溶解在水中的氯化物。桥梁的几个元素 - 尤其是柱子的严重暴露。曝光多年来导致严重的具体退化,钢筋的拆卸和蚀腐蚀。本文介绍的La-ICP-MS(激光烧蚀电感耦合等离子体质谱)方法是一种快速可靠的分析策略和新技术,术语确定现有混凝土结构的水泥相中氯化物含量。氯化物型材的高精度和深度分辨率使得预测模型具有更精确的数据评估。为此目的,氯化物型材从2016/2017年和2012年10月的每周间隔以不同高度的挡土墙取出。与水分监测和额外的环境数据以及解冰盐的数据相结合存款,它揭示了测量档案的重要相互关系和依赖关系。该数据能够通过时间和深度预测氯化物谱的开发的新洞察。要将调查结果应用于实践中,使用了两个分析模型来显示导出的输入参数的复杂性和灵敏度。

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