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基于电化学技术的基础设施耐久性多参数评估分布式嵌入式系统

Distributed Embedded System for Multiparametric Assessment of Infrastructure Durability Using Electrochemical Techniques.

作者信息

Monreal-Trigo Javier, Ramón José Enrique, Bataller Román, Alcañiz Miguel, Soto Juan, Gandía-Romero José Manuel

机构信息

Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.

Departamento de Ingeniería Electrónica, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.

出版信息

Sensors (Basel). 2024 Sep 10;24(18):5882. doi: 10.3390/s24185882.

DOI:10.3390/s24185882
PMID:39338627
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11435905/
Abstract

We present an autonomous system that remotely monitors the state of reinforced concrete structures. This system performs real-time follow-up of the corrosion rate of rebars (i), along with other relevant parameters such as temperature, corrosion potential (E), and electrical resistance of concrete (R), at many of a structure's control points by using embedded sensors. i is obtained by applying a novel low-stress electrochemical polarization technique to corrosion sensors. The custom electronic system manages the sensor network, consisting of a measurement board per control point connected to a central single-board computer in charge of processing measurement data and uploading results to a server via 4G connection. In this work, we report the results obtained after implementing the sensor system into a reinforced concrete wall, where two well-differentiated representative areas were monitored. The obtained corrosion parameters showed consistent values. Similar conclusions are obtained with E recorded in rebars. With the i follow-up, the corrosion penetration damage diagram is built. This diagram is particularly useful for identifying critical events during the corrosion propagation period and to be able to estimate structures' service life. Hence, the system is presented as a useful tool for the structural maintenance and service life predictions of new structures.

摘要

我们展示了一个能远程监测钢筋混凝土结构状态的自主系统。该系统通过使用嵌入式传感器,在结构的多个控制点实时跟踪钢筋的腐蚀速率(i)以及其他相关参数,如温度、腐蚀电位(E)和混凝土的电阻(R)。i是通过将一种新型低应力电化学极化技术应用于腐蚀传感器而获得的。定制的电子系统管理传感器网络,该网络由每个控制点的一个测量板组成,这些测量板连接到一台中央单板计算机,该计算机负责处理测量数据并通过4G连接将结果上传到服务器。在这项工作中,我们报告了将传感器系统应用于钢筋混凝土墙后获得的结果,在该墙中监测了两个有明显差异的代表性区域。所获得的腐蚀参数显示出一致的值。在钢筋中记录的E也得出了类似的结论。通过对i的跟踪,构建了腐蚀穿透损伤图。该图对于识别腐蚀传播期间的关键事件以及能够估计结构的使用寿命特别有用。因此,该系统被视为一种用于新结构的结构维护和使用寿命预测的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/45dd8824b8d5/sensors-24-05882-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/31c90e1639e2/sensors-24-05882-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/41e57a61a080/sensors-24-05882-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/a42ec564b1a5/sensors-24-05882-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/346fce2fddfc/sensors-24-05882-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/64b8930cefd4/sensors-24-05882-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/08a5161411fd/sensors-24-05882-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/606d9bb4adaa/sensors-24-05882-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/45dd8824b8d5/sensors-24-05882-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/31c90e1639e2/sensors-24-05882-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/0753d8f84e68/sensors-24-05882-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/e731bf358482/sensors-24-05882-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/a8c00bb99ef9/sensors-24-05882-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/4eae087c215b/sensors-24-05882-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/ad0069dd37c9/sensors-24-05882-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/9f2760652a2b/sensors-24-05882-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/41e57a61a080/sensors-24-05882-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/a42ec564b1a5/sensors-24-05882-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/346fce2fddfc/sensors-24-05882-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/64b8930cefd4/sensors-24-05882-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/08a5161411fd/sensors-24-05882-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/606d9bb4adaa/sensors-24-05882-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11435905/45dd8824b8d5/sensors-24-05882-g014.jpg

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本文引用的文献

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Corrosion in reinforced concrete panels: wireless monitoring and wavelet-based analysis.钢筋混凝土板的腐蚀:无线监测和基于小波的分析。
Sensors (Basel). 2014 Feb 19;14(2):3395-407. doi: 10.3390/s140203395.
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A new corrosion sensor to determine the start and development of embedded rebar corrosion process at coastal concrete.一种新的腐蚀传感器,用于确定沿海混凝土中嵌入式钢筋腐蚀过程的开始和发展。
Sensors (Basel). 2013 Sep 30;13(10):13258-75. doi: 10.3390/s131013258.