Statistical Optimization of Ultra-High-Performance Glass Concrete

This paper presents the experimental results of research carried out involving the compressive strength and slump flow of ultra-highperformance concrete (UHPC) made with cementitious blends of recycled glass flour, recycled glass powder, micro limestone powder, silica fume, and portland cement. The adopted second-order polynomic regression model provided an accurate correlation between the considered variables and the obtained responses. A numerical optimization was then performed to obtain an eco-friendly mixture with the proper flow, highest compressive strength, and minimum content of cement. The use of 603 kg/m3 of cement in the mixture can be considered as the most appropriate amount to be employed in UHPC mixtures, fulfilling the limit values of compressive strength and spread flow.

• Autores: Abellán-García, Joaquín; Fernández, Jaime; Torres Castellanos, Nancy; Núñez López, Andrés Mauricio
• Tipo de recurso: Article of investigation
• Fecha de publicación: 2020
• Institución: Escuela Colombiana de Ingeniería Julio Garavito
• Repositorio: Repositorio Institucional ECI
• Idioma: eng
• OAI Identifier: oai:repositorio.escuelaing.edu.co:001/2770
• Acceso en línea: https://repositorio.escuelaing.edu.co/handle/001/2770; https://www.concrete.org/publications/internationalconcreteabstractsportal.aspx?m=details&i=51720292
• Palabra clave: Compressive strength; Optimization; Recycled glass concrete; Response Surface Methodology (RSM); Sustainability; Ultra-high-performance concrete (UHPC)
• Rights: closedAccess
• License: https://creativecommons.org/licenses/by-nc-nd/4.0/