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Continuous nondestructive in-service monitoring of carbonation through pH and chloride ion (Cl\u2212) concentration in concrete is indispensable for early detection of corrosion and making appropriate decisions, which ultimately make the lifecycle management of RC structures optimal from resources and safety perspectives. Critical state-of-the-art review of pH and Cl\u2212 sensors revealed that the majority of the sensors have high sensitivity, reliability, and stability in concrete environment, though the experiments were carried out for relatively short periods. Among the reviewed works, only three attempted to monitor Cl\u2212 wirelessly, albeit over a very short range. As part of the feasibility study, this work recommends the use of internet of things (IoT) and machine learning for autonomous corrosion condition assessment of RC structures.<\/jats:p>","DOI":"10.3390\/s20236825","type":"journal-article","created":{"date-parts":[[2020,11,29]],"date-time":"2020-11-29T21:00:57Z","timestamp":1606683657000},"page":"6825","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Autonomous Corrosion Assessment of Reinforced Concrete Structures: Feasibility Study"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8778-4551","authenticated-orcid":false,"given":"Woubishet Zewdu","family":"Taffese","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, University of Aalto, 02150 Espoo, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2043-4274","authenticated-orcid":false,"given":"Ethiopia","family":"Nigussie","sequence":"additional","affiliation":[{"name":"Department of Future Technologies, University of Turku, 20014 Turku, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,11,29]]},"reference":[{"key":"ref_1","unstructured":"World Bank (2017). 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