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Factorial design of reactive concrete powder containing electric arc slag furnace and recycled glass powder
Diseño factorial de concretos de polvos reactivos conteniendo escoria de arco eléctrico y polvo de vidrio reciclado
DOI:
https://doi.org/10.15446/dyna.v87n213.82655Palabras clave:
RPC, sostenibilidad, EASF, RGP, resistencia a compresión, RSM, Optimización (es)RPC, Sustainability, EASF, RGP, Compressive strength, RSM, Optimization (en)
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El objetivo principal de esta investigación es desarrollar una mezcla optimizada de concreto de polvos reactivos (RPC) que contenga materiales cementícios suplementarios (SCM), como la escoria siderúrgica de arco eléctrico (EASF) y el polvo de vidrio reciclado (RGP) entre otros, utilizando el diseño factorial. Se calcularon diferentes regresiones polinómicas para predecir con precisión las variables respuesta (flujo estático y resistencia a compresión a distintas edades) en función de los factores considerados. A través de un algoritmo multiobjetivo, se determinó la mezcla que alcance la resistencia y flujo estático adecuados con un contenido mínimo de cemento. La verificación experimental de esta optimización matemática mostró que con 621 kg/m3 de cemento ASTM Tipo HE, y un contenido máximo de 100 kg/m3 de humo de sílice, se puede alcanzar una resistencia a compresión superior a los 150 MPa en un concreto, además, autocompactante.
The main objective of this research is to develop an optimized mixture of reactive powder concrete (RPC) containing supplementary cementitious materials (SCM), such as Electric Arc Slag Furnace (EASF), and Recycled Glass Powder (RGP) among others, through a factorial design. Accurate polynomial regressions were adjusted between considered factors and obtained responses such spread flow and compressive strength at different ages of the concrete. A multi-objective algorithm was executed to reach an eco-friendly mixture with the proper flow, the highest compressive strength, while simultaneously having the minimum content of cement. The experimental verification of this mathematical optimization demonstrated that the use of 621 kg/m3 of ASTM Type HE cement, with a maximum content of 100 kg/m3 of silica fume, should be considered the most appropriate amount to be employed in the RCP mixture to achieve a value of compressive strength over 150 MPa and a self-compacting mixture.
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7. Arshad Qayyum, Muhammad Faisal Javed, Raheel Asghar, Ammar Iqtidar, Hisham Alabduljabbar, Mohsin Ali Khan, Mujahid Ali. (2024). Promoting the sustainable construction: A scientometric review on the utilization of waste glass in concrete. REVIEWS ON ADVANCED MATERIALS SCIENCE, 63(1) https://doi.org/10.1515/rams-2024-0036.
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15. Joaquín Abellán-García. (2021). K-fold Validation Neural Network Approach for Predicting the One-Day Compressive Strength of UHPC. Advances in Civil Engineering Materials, 10(1), p.223. https://doi.org/10.1520/ACEM20200055.
16. Joaquín Abellán-García. (2023). Numerical Modeling Strategies for Sustainable Concrete Structures. RILEM Bookseries. 38, p.1. https://doi.org/10.1007/978-3-031-07746-3_1.
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18. Joaquin Abellan-Garcia, Yassir M. Abbas, Mohammad Iqbal Khan, Francisco Pellicer-Martínez. (2024). ANOVA-guided assessment of waste glass and limestone powder influence on ultra-high-performance concrete properties. Case Studies in Construction Materials, 20, p.e03231. https://doi.org/10.1016/j.cscm.2024.e03231.
19. Mohamed fathi Alsheltat, Mohamed Abdulmalik Elfigih. (2023). Effects of electric arc furnace slag powder and fly ash within ternary waste blend on performance of concrete. Open Ceramics, 14, p.100359. https://doi.org/10.1016/j.oceram.2023.100359.
20. Rakesh Kumar, Baboo Rai, Pijush Samui. (2025). Prediction of mechanical properties of high‐performance concrete and ultrahigh‐performance concrete using soft computing techniques: A critical review. Structural Concrete, 26(2), p.1309. https://doi.org/10.1002/suco.202400188.
21. Jesús D. Redondo-Mosquera, David Sánchez-Angarita, Marcela Redondo-Pérez, Juan C. Gómez-Espitia, Joaquín Abellán-García. (2023). Development of high-volume recycled glass ultra-high-performance concrete with high C3A cement. Case Studies in Construction Materials, 18, p.e01906. https://doi.org/10.1016/j.cscm.2023.e01906.
22. Joaquín Abellán-García. (2024). Effect of rice husk ash as partial replacement of ordinary Portland cement in ultra-high-performance glass concrete. European Journal of Environmental and Civil Engineering, 28(3), p.661. https://doi.org/10.1080/19648189.2023.2219722.
23. Joaquin Abellan-Garcia, Marielena Molinares, Nemesio Daza, Yassir M. Abbas, M. Iqbal Khan. (2023). Formulation of inexpensive and green reactive powder concrete by using milled-waste-glass and micro calcium-carbonate – A multi-criteria optimization approach. Construction and Building Materials, 409, p.134167. https://doi.org/10.1016/j.conbuildmat.2023.134167.
24. Joaquín Abellán García. (2021). Predicción basada en redes neuronales de la resistencia a compresión a los 7 días de los UHPC incorporando SCM. Matéria (Rio de Janeiro), 26(4) https://doi.org/10.1590/s1517-707620210004.1380.
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27. Joaquin Abellan-Garcia, M. Iqbal Khan, Yassir M. Abbas, Andrea Castro-Cabeza, Julian Carrillo. (2023). Multi-criterion optimization of Low-Cost, Self-compacted and Eco-Friendly Micro-calcium-carbonate- and Waste-glass-flour-based Ultrahigh-Performance concrete. Construction and Building Materials, 371, p.130793. https://doi.org/10.1016/j.conbuildmat.2023.130793.
28. Mohammad Iqbal Khan, Yassir M. Abbas, Galal Fares, Fahad K. Alqahtani. (2023). Strength prediction and optimization for ultrahigh-performance concrete with low-carbon cementitious materials – XG boost model and experimental validation. Construction and Building Materials, 387, p.131606. https://doi.org/10.1016/j.conbuildmat.2023.131606.
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30. Yassir M. Abbas, M. Iqbal Khan, Joaquin Abellan-Garcia, Andrea Castro-Cabeza. (2024). Synergizing metakaolin and waste-glass for sustainable and functional UHPCC– a central composite design and ecological footprint assessment. Journal of Building Engineering, 95, p.110249. https://doi.org/10.1016/j.jobe.2024.110249.
31. Joaquín Abellán-García, Juan J. Ortega-Guzmán, Diego A. Chaparro-Ruiz, Eliana García-Castaño. (2022). A Comparative Study of LASSO and ANN Regressions for the Prediction of the Direct Tensile Behavior of UHPFRC. Advances in Civil Engineering Materials, 11(1), p.235. https://doi.org/10.1520/ACEM20210101.
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