Title:
Optimization of Sustainable Concrete Mixes: Analysis of an Industrial Database
Author(s):
Zuleyha Kanpara Civas
Publication:
Web Session
Volume:
ws_S24_Civas.pdf
Issue:
Appears on pages(s):
Keywords:
DOI:
Date:
3/24/2024
Abstract:
Fresh- and hardened-state performance of concrete are affected by many factors. The introduction of supplementary cementitious materials (SCMs) and different chemical admixtures at different dosages influence the performance, and in particular compressive strength of concrete. Performance data obtained during standard routine industrial testing provides big datasets that can be analysed for more detailed knowledge of interactions between these factors. This study presents semi-empirical modelling of concrete compressive strength when incorporating SCMs and chemical admixtures using multivariate techniques. In this study, a large industrially derived dataset which comprises over 2000 different mixes has been analysed. Each case has information about the mix proportioning, cement class, aggregate type, admixture type and dosage, and compressive strength values. A regression model has been obtained to relate the effects of mix constituents to the interaction of SCMs and chemical admixtures explicitly. This model can be used to optimize the hardened-state performance of concrete mixes with different types and dosages of SCMs and chemical admixtures and also to quantify and minimize the variability of concrete compressive strength.