Enhancing the Buildability of CSA Cement/OPC-Blended Mortar in 3D Printing: Optimizing CSA Cement and Water Contents Using a Statistical Approach

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Authors: Sangwoo Oh, Jinsuk Lee, Seongcheol Choi
Cited by: 1
References: 60

Abstract

This study examined the influence of the water–binder ratio and calcium sulfoaluminate (CSA) cement replacement on the properties of fresh three-dimensional concrete printing (3DCP) materials and identified optimized mix proportions to enhance buildability. Experimental analyses included flowability tests, setting time evaluations, green strength assessments, extrusion pressure measurements, and printing tests. Buildability was evaluated using layer strain and interlayer bonding performance as key indicators, while statistical techniques were applied to develop a mixture design that maximized buildability and minimized the number of printing tests required. The experimental results showed that layer strain increased with a higher water–binder ratio and a lower CSA cement replacement ratio, and a similar trend was observed for interlayer bonding performance. The optimized mixture was determined using response surface methodology based on 13 experimental runs, yielding a water–binder ratio of 0.297 and a CSA cement replacement ratio of 3.88%. Verification results indicated that the optimized mixture exhibited superior buildability, with a mean relative error of 7.55% between the measured and predicted values, demonstrating close agreement between actual performance and predicted outcomes. These findings confirmed that the optimization process was effective and practically sound for enhancing the buildability of 3DCP materials.

Fields of Study & Subjects

Innovations in Concrete and Construction Materials Additive Manufacturing and 3D Printing Technologies Innovative concrete reinforcement materials

Publication details

Journal / source
International Journal of Concrete Structures and Materials
Publisher
Springer Science and Business Media LLC
Volume
20
Issue
1
Publication date
12 February 2026
Language
EN