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Geopolymer-based moisture sensors for reinforced concrete health monitoring

机译:基于地质的钢筋混凝土健康监测的水分传感器

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Moisture plays a critical role in reinforced concrete corrosion, underpinning structural degradation which costs the global economy a staggering $350 bn per year (0.5% GDP). Both moisture sensors and repair materials that limit water ingress are required, but monitoring and maintenance are often viewed as separate challenges. This paper outlines a first-time demonstration of moisture sensors based on low calcium fly ash geopolymers - a class of cementitious, electrolytically conductive repair materials. Electrochemical impedance spectroscopy and equivalent circuit models are used to understand and optimize the electrical response of geopolymer sensors to water content and temperature. Moisture and temperature precisions of 0.1 wt% and 0.1 °C are demonstrated respectively, and sensor drifts over 20min periods were found to be within 1-3%. Sensor responses were also shown to be repeatable to within 3% between wetting and thermal cycles. Results from spectrometry and chromatography analyses link this repeatability to the minimal ion leaching from the sensors. The study demonstrates the feasibility of moisture sensing using geopolymers, and furthers our current understanding of the role of moisture in the ionic conductivity of alkali-activated materials. This work is anticipated to be the first stage in developing 2D, distributed sensor-repairs for concrete structures, and other chemical sensors that support concrete structural health monitoring and prognostics.
机译:水分在钢筋混凝土腐蚀中起着关键作用,资金化结构退化,该结构退化,该结构降低,其每年推出350美元(0.5%GDP)。需要限制进水的湿度传感器和修复材料,但监测和维护通常被视为独立的挑战。本文概述了基于低钙粉煤灰地质聚合物的湿度传感器的首次演示 - 一类水泥,电解导电修复材料。电化学阻抗光谱和等效电路模型用于了解和优化地质聚合物传感器对含水量和温度的电气响应。分别对0.1wt%和0.1℃的水分和温度矫正进行说明,并且发现超过20分钟的传感器漂移在1-3%以内。还显示传感器响应在润湿和热循环之间可重复于3%以内。光谱法和色谱法分析将这种可重复性与传感器的最小离子浸出联系起来。该研究表明使用地质聚合物的水分感测的可行性,并传统我们目前对碱活化材料离子电导率中水分作用的理解。预计这项工作是开发2D,用于混凝土结构的分布式传感器修复的第一阶段,以及支持混凝土结构健康监测和预测的其他化学传感器。

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