Prediction of Mechanical Properties of the Cement Brick with Bio-aggregate

Agricultural-industrial activity leads to an abundance of waste generation and disposal, which is a desirable source for replacing fine aggregates. These compounds are known as bio-aggregates. For this research, 10–40% by volume of fine aggregate was replaced with raw rice husk in bricks. Physical and mechanical properties test was conducted. In this study, linear regression (LR) and artificial neural networking (ANN) model has been developed for prediction. The input parameters consist of cement, fine aggregate, and raw rice husk, with the output parameter being the target compressive strength. MLR and ANN were utilized to predict and compare properties. The study’s conclusion was that both models were highly accurate, but that the ANN results were better at forecasting concrete strength. The MLR model is greater than the ANN model when it discusses predicting strength.