Preprint Article Version 1 This version is not peer-reviewed

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

Version 1 : Received: 19 July 2024 / Approved: 22 July 2024 / Online: 22 July 2024 (06:02:43 CEST)

How to cite: Ramón, J. E.; Gandía-Romero, J. M.; Monreal-Trigo, J.; Bataller, R.; Alcañiz, M.; Soto, J. Distributed Embedded System for Multiparametric Assessment of Infrastructure Durability Using Electrochemical Techniques. Preprints 2024, 2024071676. https://doi.org/10.20944/preprints202407.1676.v1 Ramón, J. E.; Gandía-Romero, J. M.; Monreal-Trigo, J.; Bataller, R.; Alcañiz, M.; Soto, J. Distributed Embedded System for Multiparametric Assessment of Infrastructure Durability Using Electrochemical Techniques. Preprints 2024, 2024071676. https://doi.org/10.20944/preprints202407.1676.v1

Abstract

We present an autonomous system that remotely monitors the state of reinforced concrete structures. This system performs the real-time follow-up of the corrosion rate of rebars (iCORR), along with other relevant parameters, such as temperature, corrosion potential (ECORR) and electrical resistance of concrete (RE), at many of structures’ control points by using embedded sensors. Its corrosion sensor is stressed, to which a novel electrochemical polarization technique is applied. 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 ECORR recorded in rebars. With the iCORR 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.

Keywords

durability; reinforced concrete; remote corrosion monitoring; sensor network; steel corrosion; structural health monitoring

Subject

Engineering, Electrical and Electronic Engineering

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