Abstract
Large-scale additive manufacturing (AM), also known as 3D concrete printing, is becoming well-recognized and, therefore, has gained intensive research attention. However, this technology re-quires appropriate specifications and standard guidelines. Furthermore, the performance of printable concrete in elevated temperature circumstances has not yet been explored extensively. Hence, the authors believe that there is a demand for a set of standardized findings obtained with the support of experiments and numerical modelling of the fire performance of 3D-printed concrete structural elements. In general, fire experiments and simulations focus on ISO 834 standard fire. However, this may not simulate the real fire behaviour of 3D-printed concrete walls. With the aim of bridging this knowledge disparity, this article presents an analysis of the fire performance of 3D-printed concrete walls with biomimetic hollow cross sections exposed to realistic individual fire circumstances. The fire performance of the non-load-bearing 3D-printed concrete wall was identified by developing a suitable numerical heat transfer model. The legitimacy of the developed numerical model was proved by comparing the time–temperature changes with existing results derived from fire experiments on 3D-printed concrete walls. A parametric study of 96 numerical models was consequently performed and included different 3D-printed concrete wall configurations under four fire curves (standard, prolonged, rapid, and hydrocarbon fire). Moreover, 3D-printed concrete walls and mineral wool cavity infilled wall panels showed enhanced fire performance. Moreover, the cellular structures demonstrated superior insulation fire ratings compared to the other configurations.
Original language | English |
---|---|
Article number | 111 |
Journal | Buildings |
Volume | 12 |
Issue number | 2 |
DOIs | |
Publication status | Published - 24 Jan 2022 |
Bibliographical note
Funding Information:Funding: This research study is funded by Research Development Fund (RDF), Northumbria University and received no external funding.
Funding Information:
Acknowledgments: The authors would like to acknowledge the financial and technical support of Northumbria University and University of Sri Jayewardenepura.
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.