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A Noninvasive TDR Sensor to Measure the Moisture Content of Rigid Porous Materials

机译:无创TDR传感器用于测量刚性多孔材料的水分含量

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摘要

The article presents the potential application of the time domain reflectometry (TDR) technique to measure moisture transport in unsaturated porous materials. The research of the capillary uptake phenomenon in a sample of autoclaved aerated concrete (AAC) was conducted using a TDR sensor with the modified construction for non-invasive testing. In the paper the basic principles of the TDR method as a technique applied in metrology, and its potential for measurement of moisture in porous materials, including soils and porous building materials are presented. The second part of the article presents the experiment of capillary rise process in the AAC sample. Application of the custom sensor required its individual calibration, thus a unique model of regression between the readouts of apparent permittivity of the tested material and its moisture was developed. During the experiment moisture content was monitored in the sample exposed to water influence. Monitoring was conducted using the modified TDR sensor. The process was additionally measured using the standard frequency domain (FD) capacitive sensor in order to compare the readouts with traditional techniques of moisture detection. The uncertainty for testing AAC moisture, was expressed as RMSE (0.013 cm3/cm3) and expanded uncertainty (0.01–0.02 cm3/cm3 depending on moisture) was established along with calibration of the applied sensor. The obtained values are comparable to, or even better than, the features of the traditional invasive sensors utilizing universal calibration models. Both, the TDR and capacitive (FD) sensor enabled monitoring of capillary uptake phenomenon progress. It was noticed that at the end of the experiment the TDR readouts were 4.4% underestimated and the FD readouts were overestimated for 12.6% comparing to the reference gravimetric evaluation.
机译:本文介绍了时域反射仪(TDR)技术在测量不饱和多孔材料中水分传输方面的潜在应用。使用改进结构的TDR传感器对高压灭菌加气混凝土(AAC)样品中的毛细吸收现象进行了研究,以进行非侵入式测试。本文介绍了TDR方法作为计量技术的基本原理,以及其在多孔材料(包括土壤和多孔建筑材料)中测量水分的潜力。本文的第二部分介绍了AAC样品中毛细管上升过程的实验。定制传感器的应用需要对其进行单独的校准,因此开发了一种独特的回归模型,用于显示被测材料的表观介电常数与其水分之间的关​​系。在实验期间,监测暴露于水的样品中的水分含量。使用改良的TDR传感器进行监测。此外,还使用标准频域(FD)电容传感器对过程进行了测量,以便将读数与传统的水分检测技术进行比较。测试AAC水分的不确定度表示为RMSE(0.013 cm 3 / cm 3 )和扩展不确定度(0.01–0.02 cm 3 / cm 3 取决于湿度)以及所应用传感器的校准。所获得的值与使用通用校准模型的传统侵入式传感器的功能相当甚至更好。 TDR和电容(FD)传感器均可监测毛细管吸收现象的进展。注意到在实验结束时,与参考重量分析相比,TDR读数被低估了4.4%,FD读数被高估了12.6%。

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