Abstract

Metakaolin is reactive and is widely used in the modern concrete industry. This study presents an integrated strength–sustainability evaluation framework, which we employed in the context of metakaolin content in concrete. First, a composite hydration model was employed to calculate reactivity of metakaolin and cement. Furthermore, a hydration-based linear equation was designed to evaluate the compressive strength development of metakaolin composite concrete. The coefficients of the strength evaluation model are constants for different mixtures and ages. Second, the sustainability factors—CO2 emissions, resource consumption, and energy consumption—were determined based on concrete mixtures. Moreover, the sustainability factors normalized for unit strength were obtained based on the ratios of total CO2 emissions, energy consumption, and resource consumption to concrete strength. The results of our analysis showed the following: (1) As the metakaolin content increased, the normalized CO2 emissions and resource consumption decreased, and the normalized energy first decreased and then slightly increased. (2) As the concrete aged from 28 days to three months, the normalized CO2 emissions, resource consumption, and energy consumption decreased. (3) As the water/binder ratio decreased, the normalized CO2 emissions, resource consumption, and energy consumption decreased. Summarily, the proposed integrated strength–sustainability evaluation framework is useful for finding greener metakaolin composite concrete.

Highlights

  • Metakaolin mainly consists of SiO2 and Al2O3 and shows high reactivity

  • Compared with previous strength and sustainability evaluation models, the framework proposed in this study shows some benefits: First, the strength models in the previous studies mainly can be divided into two types, i.e., efficiency factor-based models and machine learning-based models

  • This study presented an integrated strength–sustainability evaluation framework to produce greener metakaolin composite concrete

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Summary

Introduction

Metakaolin mainly consists of SiO2 and Al2O3 and shows high reactivity. The addition of metakaolin can provide various benefits to concrete, such as increased late age strength, enhanced chloride ingress and acid resistance, and lower shrinkage and greenhouse gas emissions [1,2]. The evaluation of strength development is meaningful for structural element design and construction management. Many numerical models have been presented for evaluating the strength of metakaolin composite concrete. Razak and Wong [3] proposed a strength model that analyzes the efficiency of metakaolin using metakaolin replacement percentage, water/binder ratio, and age. Using the concept of efficiency factor, Papadakis and Demis [4] and Badogiannis et al [5] proposed a software package that evaluates the strength class and service life of blended concrete. In addition to the efficiency factor method, some strength models have been proposed that use machine learning methods. Hosseinpour [8] analyzed the strength of metakaolin concrete by using artificial neural networks. Ayobami [11] evaluated the strength of self-compacting metakaolin composite concrete using response surface analysis

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