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Architectural 3D-Printed Structures Created Using Artificial Intelligence: A Review of Techniques and Applications

Authors :
Milijana Živković
Maša Žujović
Jelena Milošević
Source :
Applied Sciences, Vol 13, Iss 19, p 10671 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Artificial Intelligence (AI) and 3D printing (3DP) play considerable roles in what is known as the Fourth Industrial Revolution, by developing data- and machine-intelligence-based integrated production technologies. In architecture, this shift was induced by increasingly complex design requirements, posing important challenges for real-world design implementation, large-scale structure fabrication, and production quality standardization. The study systematically reviews the application of AI techniques in all stages of creating 3D-printed architectural structures and provides a comprehensive image of the development in the field. The research goals are to (1) offer a comprehensive critical analysis of the body of literature; (2) identify and categorize approaches to integrating AI in the production of 3D-printed structures; (3) identify and discuss challenges and opportunities of AI integration in architectural production of 3D-printed structures; and (4) identify research gaps and provide recommendations for future research. The findings indicate that AI is an emerging addition to the 3DP process, mainly transforming it through the real-time adjustment of the design or printing parameters, enhanced printing quality control, or prediction and optimization of key design features. However, the potential of the application of AI in large-scale architectural 3D printing still needs to be explored. Lastly, the study emphasizes the necessity of redefining traditional field boundaries, opening new opportunities for intelligent architectural production.

Details

Language :
English
ISSN :
20763417
Volume :
13
Issue :
19
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.be10adba58a94b448fce5675d51cc24a
Document Type :
article
Full Text :
https://doi.org/10.3390/app131910671