Abstract

The static yield stress of printable cementitious materials is a critical parameter governing the shape stability and buildability of 3D printed concrete structures. Among various testing techniques, the penetration test has emerged as a promising method for in-situ measurement of static yield stress during printing process. However, the applicability of the penetration test for in-line monitoring of static yield stress remains limited due to the necessity for substantial material thickness. To address this challenge, this study proposes a novel tip penetration test, which enables static yield stress determination without the requirement for full cone submergence, thereby facilitating assessment of thin printed filaments while reducing the testing time. The effects of key process parameters such as penetration speed (0.25 mm/s, 0.5 mm/s and 1 mm/s), cone surface condition (rough and smooth), and cone semi-angle (30°, 45° and 60°) on the accuracy of the tip penetration test results were systematically investigated by comparing the results with the standard vane rheometer test. Furthermore, a theoretical framework based on solid plasticity theory was proposed to convert the tip penetration test results to static yield stress. The optimum penetration speed was identified as 0.5 mm/s and smooth cones with semi-angles of 45° and 60° provided the best correlation with vane test results. The proposed theoretical model effectively estimated the static yield stress from tip penetration test results. The accuracy of the predictions was found to be highly sensitive to the selected failure criterion.

Department(s)

Civil, Architectural and Environmental Engineering

Publication Status

Full Text Access

Keywords and Phrases

3D concrete printing; Cone geometry; In-line quality control; Rheological properties; Static yield stress; Surface roughness; Theoretical framework; Tip penetration test

International Standard Serial Number (ISSN)

0958-9465

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2026 Elsevier, All rights reserved.

Publication Date

01 Feb 2026

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