Multiple Linear Regression Model to Predict Compressive Strength of Concrete with Silica Fume and Metallic Fibers

One of the most widely used building materials in the construction industry is concrete and cement is the main component of concrete. A roughly quantity of \({CO}_{2}\) is released into the atmosphere during cement manufacture which pollutes the environment. To improve concrete's long-term viability, efforts should be concentrated on minimizing its environmental effects. This article analyzes the influence of replacing cement with pozzolanic elements such silica fume at rates of 5%, 10% and 20% each on the compressive strength of concrete. Additionally, metallic fibers were added to the mixture at rates of 39.16% and 19.58%, respectively 2.39% and 1.2%. In order to obtain ecologically acceptable concrete mixes a prediction model for estimate the compressive strength of a concrete mixture with silica fume and metallic fibers was proposed. The compressive strength of concrete containing silica fume and metallic fibers was predicted using a mathematical multiple linear regression model. The \({R}^{2}\) , , (determination coefficient), RMSE (root-mean-square-error), MAE (mean absolute error) and MAPE (mean absolute percentage error) values indicate that the proposed model has strong estimate capabilities.