Monitoring workability properties of self-compacting concrete (SCC) using Internet of Things (IoT)

Abstract

Workability, determines whether the concrete is suitable to cast in-situ for specified job. In practice it is determine by multiple test methods to find the workability properties by following EFNARC guidelines. To evaluate these properties in single test Ultrasonic sensors (hc-sr04) and Ultrasonic pulse velocity (UPV) test are used. The float glass box of dimensions 300×300×400 mm with reinforcement inside 16mm dia with spacing 46mm and clear cover 40mm is used for simulation. The hc-sr04 sensors are placed at the corners of the glass column for determining the concrete filled into the box and monitor through Arduino.ide software. The filling ability is determined by the time taken to fill the column and classified into FA1, FA2 & FA3 classes. The passing ability is determined by the difference of concrete height at inside the reinforcement and at the corners after filling and classified into PA1, PA2 & PA3. Ultrasonic velocity measurements are taken by direct mode and based on the variations at different locations segregation resistance is classified into SR1, SR2 & SR3. The aim of this simulation was to establish the relation between experimental tests and simulation IoT test results. Comparison between empirical tests and stimulation model shows that this model can used to check the workability at in-situ to meet the job specification.