International Journal of Waste Resources

Abstract

Modeling the mechanical properties of sustainable mortar modified with waste glass granular (particles) using ANN and multi-scale approaches

Soran Abdrahman Ahmad*, Alan Saeed Abdulrahman, Amir Mohammad Ramezanianpour, Serwan Khwrshed Rafiq, Kawa Omar Fqi Mahmood, Frya Shawkat Jafer

Since concrete and mortar production (industry) are the biggest natural resource user, their industry's sustainability are under threat. The environmental and economic concern is the most important challenge that the construction industry is facing. The usage of the waste materials in recent years become interested subject for researchers, one of these waste materials is waste glass usage as sand replacement. This article, dealt with proposing models to predict compressive strength of mortar which modified with waste glass granular, showing its effect on the compressive strength. In this paper, 134 data are collected from previous paper with different parameter and statically analyzed, and represented in four models (Linear Regression Model (LRM) and Non-Linear Regression model (NLR), Multi Logistic Regression model (MLR) and ANN model) for predicted compressive strength. In the process of modeling, these variables are important and affect on the value of compressive strength, such as curing time, w/c, cement content, sand content, waste glass content. Various statistical assessments such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Scatter Index (SI), OBJ value, and the coefficient of determination (R²) were used to evaluate the efficiency and performance of the proposed models. The obtained results showed that the ANN-model showed better efficiency for predicting the compressive strength of NC mixtures containing fine glass compared to other models.

Published Date: 2025-01-15; Received Date: 2023-12-27