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Title: Statistical Optimization of Ultra-High-Performance Glass Concrete

Author(s): Joaquín Abellán, Jaime Fernández, Nancy Torres, and Andrés Núñez

Publication: Materials Journal

Volume: 117

Issue: 1

Appears on pages(s): 243-254

Keywords: compressive strength; optimization; recycled glass concrete; response surface methodology (RSM); sustainability; ultra-high-performance concrete (UHPC)

Date: 1/1/2020

This paper presents the experimental results of research carried out involving the compressive strength and slump flow of ultra-high-performance 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.


Electronic Materials Journal


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