Optimization of Compressive Strength Prediction for Waste-Based Concrete Blocks via Taguchi Methodology

Abstract

The increasing demand for sustainable construction practices has driven research into the use of demolished and industrial waste as replacements for conventional aggregates in concrete. Developing reliable methods to predict the compressive strength of concrete incorporating such waste is critical for ensuring consistent performance. This paper explores the application of the Taguchi method to derive a robust equation for predicting the compressive strength of concrete blocks made from demolished and industrial waste. The Taguchi approach, known for its efficiency in optimizing processes with multiple variables, is employed to manage the variability associated with waste-derived materials. The study synthesizes existing research on the mechanical properties of waste-based concrete, highlighting key factors influencing compressive strength, including mix design, material variability, and curing conditions. By systematically analyzing these factors, a reliable predictive model is proposed, facilitating the adoption of sustainable concrete blocks in construction projects and contributing to waste reduction and resource efficiency.