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Chloride detection in concrete using wireless fidelity (Wi-Fi) signal

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dc.citedby0
dc.contributor.authorPaul S.C.en_US
dc.contributor.authorAl Mamun F.en_US
dc.contributor.authorHasan N.M.S.en_US
dc.contributor.authorShaun F.J.en_US
dc.contributor.authorKong S.Y.en_US
dc.contributor.authorWong L.S.en_US
dc.contributor.authorBabafemi A.J.en_US
dc.contributor.authorid58975844300en_US
dc.contributor.authorid58891190300en_US
dc.contributor.authorid57208346987en_US
dc.contributor.authorid57192666570en_US
dc.contributor.authorid57208875766en_US
dc.contributor.authorid55504782500en_US
dc.contributor.authorid55948535200en_US
dc.date.accessioned2025-03-03T07:44:18Z
dc.date.available2025-03-03T07:44:18Z
dc.date.issued2024
dc.description.abstractCorrosion is causing the gradual deterioration of a significant quantity of existing structures in many nations around the world. In reinforced concrete structures (RCS), chloride corrosion occurs more rapidly than carbonation corrosion. When affected, RCS must go through a repair or retrofitting process for further functioning. Therefore, early detection of corrosion attacks can save both the cost of repair and the expected/remaining service life of the structure. It is feasible to assess whether the structures are already corroding by measuring the level of chloride. This study reports a non-destructive method for detecting the chloride in concrete by using wireless fidelity (Wi-Fi) signal. A setup is developed with two Wi-Fi adapters and Wi-Fi analyzer software to detect the various amounts of chloride in concrete samples by means of attenuation (dB). Three different grades and thicknesses of concrete samples were prepared with known NaCl percentages of 0%, 5%, 10%, and 15%, and their attenuation values obtained by Wi-Fi signals were analyzed. An artificial neural network is employed to predict the actual NaCl with the model or predicted NaCl data. The result illustrated a measurable influence of the concrete grades, sample thickness, and percentages of NaCl on the attenuation values. Electrical resistivity, water absorption, and microstructures of the samples were investigated and correlated with the attenuation values. Successful use of this non-destructive technique can have a significant contribution in assessing the durability of many existing RCS. ? Springer Nature Switzerland AG 2024.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo60
dc.identifier.doi10.1007/s41062-024-01378-9
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85185253910
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85185253910&doi=10.1007%2fs41062-024-01378-9&partnerID=40&md5=879b3215dcfe4080534c48bca3c020dc
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36738
dc.identifier.volume9
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleInnovative Infrastructure Solutions
dc.titleChloride detection in concrete using wireless fidelity (Wi-Fi) signalen_US
dc.typeArticleen_US
dspace.entity.typePublication
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