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Structural health monitoring (SHM) and damage assessment of civil engineering infrastructure is an extremely complicated job. Strength of structures is impacted by numerous parameters, starting from the stage of material production up to placing in situ, then followed by the level of workmanship, removing of formwork, and final concrete curing. Technology advancement with high availability of Wi-Fi resulted in SHM shift from conventional methods of traditional wiring to the use of the Internet of Things-based real-time wireless sensors. Structures' health can be comprehensively assessed through the effective utilization of real-time test data on structures collected from various forms of IoT sensors, which are used to monitor several health civil engineering infrastructure. Besides this, several case studies on real structures and laboratory investigations for monitoring the structural health of civil engineering constructions are discussed.parameters of structures and are available in cloud-based data storage systems. The sensor data can later be used for applications such as the forecasting of the deterioration of masonry construction, the prediction of the early-stage compressive strength of concrete, the forecasting of the optimum time for the removal of formwork, vibration and curing quality control, crack detection in buildings, pothole detection on roads, determination of construction quality, corrosion diagnosis, identification of various typologies of damage and seismic vulnerability assessment. This review paper covers the applications of the wireless IoT technology in monitoring
"Application of IoT based Techniques in Concrete- A review", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a625-a633, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501076.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator