Podrobno

Design of a computational model for 3D concrete printed geometry using machine learning and genetic optimization
ID Ličen, Jurij (Avtor), ID Chen, Taole (Avtor)

URLURL - Predstavitvena datoteka, za dostop obiščite https://journals.bilpubgroup.com/index.php/jbms/article/view/13096/7818 Povezava se odpre v novem oknu
URLURL - Izvorni URL, za dostop obiščite https://journals.bilpubgroup.com/index.php/jbms/issue/view/862 Povezava se odpre v novem oknu

Izvleček
3D Concrete Printing (3DCP) is an emerging technology with well-established benefits and the potential to dramatically change the construction industry. While research in material and process optimization is gaining traction, the architectural application of 3DCP remains relatively underdeveloped. Among many challenges, a lack of suitable computational modelling techniques is often identified as a major obstacle, resulting in simplistic design solutions that do not take full advantage of 3DCP technology. This study proposes a fabrication-aware design model using machine learning (ML), specifically genetic optimization, to address the research gap. 3DCP is used to produce sacrificial formwork for freeform reinforced concrete shell structures. The model conceptualizes a module-based approach to establish interlinked feedback loops across the various stages of a project, enabling fabrication and assembly considerations in the early design phase. Structural behaviour, printability, and segmentation constraints are translated into evaluative criteria within a unified computational workflow implemented in Rhino/Grasshopper, using the Galapagos genetic optimization solver. The framework enables iterative exploration of design options while accounting for both geometric and fabrication-related constraints. Three shell typologies are used to demonstrate the method, including a cantilever, a bridge, and a wall element, supported by a full-scale 3D printed segment for initial validation. This approach enables designers to develop geometries that are specifically tailored to the constraints and opportunities of 3DCP, opening new possibilities for meaningful interaction with the design-to-fabrication pipeline of complex 3DCP geometries.

Jezik:Angleški jezik
Ključne besede:3D concrete printing, computational design, evolutionary optimization, fabrication constraints, reinforced concrete shells, digital fabrication, early-stage design
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FA - Fakulteta za arhitekturo
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Datum objave:01.06.2026
Leto izida:2026
Št. strani:Str. 77-92
Številčenje:Vol. 8, iss. 2
PID:20.500.12556/RUL-185081 Povezava se odpre v novem oknu
UDK:004.925.84:72:691.32
ISSN pri članku:2630-5216
DOI:10.30564/jbms.v8i2.13096 Povezava se odpre v novem oknu
COBISS.SI-ID:285678083 Povezava se odpre v novem oknu
Datum objave v RUL:22.07.2026
Število ogledov:172
Število prenosov:60
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Journal of building material science
Skrajšan naslov:J. build. material sci.
Založnik:Bilingual Publishing Co.
ISSN:2630-5216
COBISS.SI-ID:285552131 Povezava se odpre v novem oknu

Licence

Licenca:CC BY-NC 4.0, Creative Commons Priznanje avtorstva-Nekomercialno 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc/4.0/deed.sl
Opis:Licenca Creative Commons, ki prepoveduje komercialno uporabo, vendar uporabniki ne rabijo upravljati materialnih avtorskih pravic na izpeljanih delih z enako licenco.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:3D tiskanje betona, računalniško podprto načrtovanje, evolucijska optimizacija, omejitve izdelovanja, armirane betonske lupine, digitalno izdelovanje, zgodnja faza načrtovanja

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