Smart Concrete Strength Measurement Device

Abstract

The measurement of compressive strength is the most important in construction industries. Conventionally used devices such as UTM (Universal Testing Machine) are costly, time-consuming, produce a lot of waste material, and produce environmental pollution. In addition, hectic processes used to be carried out, such as standard cubes were cast and tested at varying curing ages (7,14,21,28 days). In this research, we designed a smart prototype device that can measure the strength of concrete mix based on ANN (Artificial Neural Network). Using the designed system, it is possible to measure concrete’s fixed compressive strength by varying the ingredients’ proportions (cement, coarse aggregates, fine aggregates, and water). Historical concrete mix data (50) is collected from the Concrete and Structural Laboratory, Mehran University of Engineering and Technology Jamshoro, and sorted out as per ANN requirements. The system used 80% of data for training purposes and 20% for testing and validation using high accuracy (96%) historical data and further connected to a cloud storage network to collect measurement data. This device will help the construction industry make quick project choices and save material waste.