Živković, M.; Žujović, M.; Milošević, J. Architectural 3D-Printed Structures Created Using Artificial Intelligence: A Review of Techniques and Applications. Appl. Sci.2023, 13, 10671.
Živković, M.; Žujović, M.; Milošević, J. Architectural 3D-Printed Structures Created Using Artificial Intelligence: A Review of Techniques and Applications. Appl. Sci. 2023, 13, 10671.
Živković, M.; Žujović, M.; Milošević, J. Architectural 3D-Printed Structures Created Using Artificial Intelligence: A Review of Techniques and Applications. Appl. Sci.2023, 13, 10671.
Živković, M.; Žujović, M.; Milošević, J. Architectural 3D-Printed Structures Created Using Artificial Intelligence: A Review of Techniques and Applications. Appl. Sci. 2023, 13, 10671.
Abstract
Artificial intelligence (AI) and 3D printing (3DP) play critical roles in what is known as the 4th Industrial Revolution by developing data- and machine-intelligence-based integrated production technologies. This shift has led to increasingly complex design requirements and fabrication methods, posing several challenges for implementing design, fabrication process, and architectural quality standardization. This paper systematically reviews AI techniques applied in diverse stages of 3DP production in architecture. 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 3DP structures; and (4) identify gap and provide recommendations for future research. The findings indicate that topics related to AI applications are current and trending, receiving increasing attention from researchers in general and particularly those working in machine and deep learning, artificial neural networks, and pattern recognition. However, the potential of the application of AI in architectural production using additive manufacturing still needs to be explored. Considering this, the paper emphasizes the necessity of redefining traditional field boundaries and opening new opportunities in the sector.
Keywords
architectural design; digital design; digital fabrication; additive manufacturing (AM); 3D printing (3DP); artificial intelligence (AI); machine learning (ML); deep learning (DL); artificial neural networks (ANN); computer vision
Subject
Engineering, Architecture, Building and Construction
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
