System for Continuous Monitoring of the Corrosion Rate in Concrete Reinforcement based on Bimetallic Batch Sensors

Shevtsov, Dmitry; Зарцын, И. Д.; Komarova, Ekaterina S.

doi:10.1134/s2070205121070182

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…State-of-the-art technologies can be used to arrange for either the wired or wireless collection, recording, storage, and transmission of data at a relatively low cost. Up to now, there have been a number of various-scale studies, both laboratory [60] and in situ [55], which tested the systems of data collection, storage, and transmission. Thus, installing such sensors in regions susceptible to corrosion and wiring them into a single network enables building management organisations to analyse the condition of the structures as well as plan maintenance and repair works.…”

Section: Macro-and Microcell Sensorsmentioning

confidence: 99%

Progress in Sensors for Monitoring Reinforcement Corrosion in Reinforced Concrete Structures—A Review

Shevtsov

Linh

Van

et al. 2022

Sensors

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Non-destructive monitoring methods and continuous monitoring systems based on them are crucial elements of modern systems for the management and maintenance of assets which include reinforced concrete structures. The purpose of our study was to summarise the data on the most common sensors and systems for the non-destructive monitoring of reinforced concrete structures developed over the past 20 years. We considered systems based on electrochemical (potentiometry, methods related to polarisation) and physical (electromagnetic and ultrasonic waves, piezoelectric effect, thermography) examination methods. Special focus is devoted to the existing sensors and the results obtained using these sensors, as well as the advantages and disadvantages of their setups or other equipment used. The review considers earlier approaches and available commercial products, as well as relatively new sensors which are currently being tested.

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Section: Macro-and Microcell Sensorsmentioning

confidence: 99%