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A multi-criterial optimization of low-carbon binders for a sustainable high-strength concrete using TOPSIS
Abstract The objective of this study is to focus on "low carbon binders," given the adverse environmental impacts resulting from the extensive emission of greenhouse gases. In the current context, the term "geopolymer concrete," often referred to as "low carbon binders," is gaining prominence as a means to develop an eco-friendly binding material. Furthermore, this study focuses on creating high-strength geopolymer binders using ambient curing conditions. Numerous factors are involved in determining the mix ratios for geopolymer concrete. Nonetheless, the reluctance to apply it in practical scenarios arises from an insufficient understanding of how to select the appropriate mix proportions based on these parameters. Therefore, utilizing Multi-Criteria Decision-Making presents the best choice for evaluating the geopolymer parameters. Among several MCDM methods, TOPSIS has been selected for this research. Geopolymer binders are produced using Ground Granulated Blast furnace Slag (GGBS), a by-product from the steel industry and metakaolin (MK), a product from the calcination of clay. A total of thirty-two combinations of geopolymer mortar mixes were created by varying the percentage of metakaolin, the ratio of alkaline activators (sodium silicate to sodium hydroxide, SS/SH), and the concentration of sodium hydroxide (NaOH). The assessment of these mixtures involves nine response factors, encompassing flow characteristics, initial and final setting time, compressive strength (7 and 28 days), initial drying shrinkage, energy consumption, CO2 emission, and financial expenses. A study of the microstructure is carried out to explore the impact of MK presence on geopolymers using GGBS as a base precursor. Hence, techniques for optimizing multiple responses were employed to attain the desired attributes while maintaining all measurable factors within an acceptable range. This approach to optimization holds significant importance, particularly when dealing with geopolymer concrete, as it can enhance its utilization compared to traditional cement-based concrete.
Highlights This study focuses on optimizing low-carbon binders that meet all the experimental, environmental, and economic criteria. TOPSIS is one of the multi-criteria decision-making tools with high computational efficiency adopted to optimize low-carbon binders. To validate the result obtained through TOPSIS, microstructural analysis was performed. Employing this method has mitigated the complexity that arises when multiple parameters for concrete are taken into account.
A multi-criterial optimization of low-carbon binders for a sustainable high-strength concrete using TOPSIS
Abstract The objective of this study is to focus on "low carbon binders," given the adverse environmental impacts resulting from the extensive emission of greenhouse gases. In the current context, the term "geopolymer concrete," often referred to as "low carbon binders," is gaining prominence as a means to develop an eco-friendly binding material. Furthermore, this study focuses on creating high-strength geopolymer binders using ambient curing conditions. Numerous factors are involved in determining the mix ratios for geopolymer concrete. Nonetheless, the reluctance to apply it in practical scenarios arises from an insufficient understanding of how to select the appropriate mix proportions based on these parameters. Therefore, utilizing Multi-Criteria Decision-Making presents the best choice for evaluating the geopolymer parameters. Among several MCDM methods, TOPSIS has been selected for this research. Geopolymer binders are produced using Ground Granulated Blast furnace Slag (GGBS), a by-product from the steel industry and metakaolin (MK), a product from the calcination of clay. A total of thirty-two combinations of geopolymer mortar mixes were created by varying the percentage of metakaolin, the ratio of alkaline activators (sodium silicate to sodium hydroxide, SS/SH), and the concentration of sodium hydroxide (NaOH). The assessment of these mixtures involves nine response factors, encompassing flow characteristics, initial and final setting time, compressive strength (7 and 28 days), initial drying shrinkage, energy consumption, CO2 emission, and financial expenses. A study of the microstructure is carried out to explore the impact of MK presence on geopolymers using GGBS as a base precursor. Hence, techniques for optimizing multiple responses were employed to attain the desired attributes while maintaining all measurable factors within an acceptable range. This approach to optimization holds significant importance, particularly when dealing with geopolymer concrete, as it can enhance its utilization compared to traditional cement-based concrete.
Highlights This study focuses on optimizing low-carbon binders that meet all the experimental, environmental, and economic criteria. TOPSIS is one of the multi-criteria decision-making tools with high computational efficiency adopted to optimize low-carbon binders. To validate the result obtained through TOPSIS, microstructural analysis was performed. Employing this method has mitigated the complexity that arises when multiple parameters for concrete are taken into account.
A multi-criterial optimization of low-carbon binders for a sustainable high-strength concrete using TOPSIS
Swathi, B. (Autor:in) / Vidjeapriya, R. (Autor:in)
24.03.2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
GGBS , Ground Granulated Blast furnace Slag , MK , Metakaolin , LC , Low-carbon binders , MCDM , Multiple Criteria Decision Making , SS/SH , Sodium silicate to Sodium hydroxide ratio , AA/B , Alkaline activator to Binder ratio , NEC , Normalized Energy Consumption , ITZ , Inter Layer Transition zone , High strength , Sustainability , Multi criteria optimization , TOPSIS , Microstructures
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