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Corrosion in reinforced concrete panels: wireless monitoring and wavelet-based analysis.

Qiao G, Sun G, Hong Y, Liu T, Guan X - Sensors (Basel) (2014)

Bottom Line: We design a novel pitting corrosion-detecting mote and a communication protocol such that the monitoring platform can sample the electrochemical emission signals of corrosion process with a configured period, and send these signals to a central computer for the analysis.We also conducted test-bed experiments based on RC panels.The results verify the feasibility and efficiency of the proposed WSN system and algorithms.

View Article: PubMed Central - PubMed

Affiliation: Key Lab of Structures Dynamic Behavior and Control, Harbin Institute of Technology, Ministry of Education, Harbin 150090, China. qgf_forever@hit.edu.cn.

ABSTRACT
To realize the efficient data capture and accurate analysis of pitting corrosion of the reinforced concrete (RC) structures, we first design and implement a wireless sensor and network (WSN) to monitor the pitting corrosion of RC panels, and then, we propose a wavelet-based algorithm to analyze the corrosion state with the corrosion data collected by the wireless platform. We design a novel pitting corrosion-detecting mote and a communication protocol such that the monitoring platform can sample the electrochemical emission signals of corrosion process with a configured period, and send these signals to a central computer for the analysis. The proposed algorithm, based on the wavelet domain analysis, returns the energy distribution of the electrochemical emission data, from which close observation and understanding can be further achieved. We also conducted test-bed experiments based on RC panels. The results verify the feasibility and efficiency of the proposed WSN system and algorithms.

No MeSH data available.


The schematic plan of the wireless corrosion monitoring system for RC panels.
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f5-sensors-14-03395: The schematic plan of the wireless corrosion monitoring system for RC panels.

Mentions: Figure 5 illustrates the geometry of the RC panels and the distribution of the sensing motes. To recycle the MicaZ motes in the future, the sensing elements including the comb-shaped electrodes and the solid-state reference electrodes (SSREs) prepared by electron-beam vapor deposition are directly embedded in the concrete surrounded by the steel-bar mesh, and these electrodes are wired with the MicaZ motes installed on the surface of the reinforced concrete panels.


Corrosion in reinforced concrete panels: wireless monitoring and wavelet-based analysis.

Qiao G, Sun G, Hong Y, Liu T, Guan X - Sensors (Basel) (2014)

The schematic plan of the wireless corrosion monitoring system for RC panels.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3958240&req=5

f5-sensors-14-03395: The schematic plan of the wireless corrosion monitoring system for RC panels.
Mentions: Figure 5 illustrates the geometry of the RC panels and the distribution of the sensing motes. To recycle the MicaZ motes in the future, the sensing elements including the comb-shaped electrodes and the solid-state reference electrodes (SSREs) prepared by electron-beam vapor deposition are directly embedded in the concrete surrounded by the steel-bar mesh, and these electrodes are wired with the MicaZ motes installed on the surface of the reinforced concrete panels.

Bottom Line: We design a novel pitting corrosion-detecting mote and a communication protocol such that the monitoring platform can sample the electrochemical emission signals of corrosion process with a configured period, and send these signals to a central computer for the analysis.We also conducted test-bed experiments based on RC panels.The results verify the feasibility and efficiency of the proposed WSN system and algorithms.

View Article: PubMed Central - PubMed

Affiliation: Key Lab of Structures Dynamic Behavior and Control, Harbin Institute of Technology, Ministry of Education, Harbin 150090, China. qgf_forever@hit.edu.cn.

ABSTRACT
To realize the efficient data capture and accurate analysis of pitting corrosion of the reinforced concrete (RC) structures, we first design and implement a wireless sensor and network (WSN) to monitor the pitting corrosion of RC panels, and then, we propose a wavelet-based algorithm to analyze the corrosion state with the corrosion data collected by the wireless platform. We design a novel pitting corrosion-detecting mote and a communication protocol such that the monitoring platform can sample the electrochemical emission signals of corrosion process with a configured period, and send these signals to a central computer for the analysis. The proposed algorithm, based on the wavelet domain analysis, returns the energy distribution of the electrochemical emission data, from which close observation and understanding can be further achieved. We also conducted test-bed experiments based on RC panels. The results verify the feasibility and efficiency of the proposed WSN system and algorithms.

No MeSH data available.