An Efficient Distributed Monitoring Framework for Reinforced Concrete Beam

Abstract

To strengthen the Reinforced Concrete (RC) structures, load carrying rate has to be determined with different tests. However, the manual test required a long time to value the cracking effectiveness. Considering that a novel Coati-based RC Strength Monitoring (CbRSM) framework was designed to estimate the RC beam strength. Moreover, Carbon Fibre Reinforced Polymer (CFRP) is employed as an adhesive agent to bond the concrete moulds. The obtained RC beams are tested in dual tests that are static and dynamic. After conducting the tests, the optimal coati function was activated for optimizing the sensing parameter to reduce power leakage. In contrast, the developed model was executed in the MATLAB programming language. In addition, to justify the effectiveness of the designed model, the key parameter of Accuracy was measured and compared with other models. Hence, the designed model shows the highest Accuracy of 98.3%, higher than the compared model.