<p>There is a growing interest in replacing Portland cement in concrete mix designs but traditional supplementary cementitious materials (SCMs) such as fly ash and ground granulated blast furnace slag (GGBFS) are expected to be phased out. For any new SCM, it is necessary to have a holistic perspective based on performance, cost and CO<sub>2</sub> equivalent to judge their efficacy in a binder system. In this study, the potential of copper slag (a byproduct from the copper industry) as an SCM in a ternary blended cement system was investigated using regression models, which were developed to predict compressive strength and were integrated into a multi-objective linear programming (MOLP) framework together with linear models for cost and CO<sub>2</sub> equivalent. The goal of this paper was to develop an experimental and statistical modelling framework, that can be used to generate possible mix designs pertaining to specific cement strength classes (32.5&#xa0;N and 42.5&#xa0;N) with minimal cost and CO<sub>2</sub> equivalent, focusing on economic and sustainability aspects of binders while maintaining the required performance. A cement strength class of 42.5&#xa0;N was obtained with 20 wt% copper slag, 19 wt% limestone, and 61 wt% Portland cement (CEM I 52.5R). The framework can be useful for both copper (and other metallurgical industries) and cement industries (and mix design practitioners in general) in terms of limiting the number of initial experimental trials and generating new target-based mix designs from valorized residues.</p> Graphical Abstract <p></p>

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Copper Slag-Based Low-CO2 Blended Cement Mortars: A Numerical Multi-objective Optimization Approach

  • Debadri Som,
  • Tobias Hertel,
  • Glenn Beersaerts,
  • Mathijs Schuurmans,
  • Panagiotis Patrinos,
  • Yiannis Pontikes

摘要

There is a growing interest in replacing Portland cement in concrete mix designs but traditional supplementary cementitious materials (SCMs) such as fly ash and ground granulated blast furnace slag (GGBFS) are expected to be phased out. For any new SCM, it is necessary to have a holistic perspective based on performance, cost and CO2 equivalent to judge their efficacy in a binder system. In this study, the potential of copper slag (a byproduct from the copper industry) as an SCM in a ternary blended cement system was investigated using regression models, which were developed to predict compressive strength and were integrated into a multi-objective linear programming (MOLP) framework together with linear models for cost and CO2 equivalent. The goal of this paper was to develop an experimental and statistical modelling framework, that can be used to generate possible mix designs pertaining to specific cement strength classes (32.5 N and 42.5 N) with minimal cost and CO2 equivalent, focusing on economic and sustainability aspects of binders while maintaining the required performance. A cement strength class of 42.5 N was obtained with 20 wt% copper slag, 19 wt% limestone, and 61 wt% Portland cement (CEM I 52.5R). The framework can be useful for both copper (and other metallurgical industries) and cement industries (and mix design practitioners in general) in terms of limiting the number of initial experimental trials and generating new target-based mix designs from valorized residues.

Graphical Abstract