Buildability modeling of 3D-printed concrete including printing deviation: a stochastic analysis
Owing to the formwork-free construction, 3D concrete printing shows great prospects in construction industry. However, this manner also results in non-verified geometric precision, which is prone to generate uncontrolled printing deviations between the actual and designed print paths. To include thi...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/395314 |
| Acceso en línea: | https://hdl.handle.net/2117/395314 https://dx.doi.org/10.1016/j.conbuildmat.2023.133076 |
| Access Level: | acceso abierto |
| Palabra clave: | Three-dimensional printing Concrete 3D–printed concrete Buildability Peridynamics Printing deviation Stochastic analysis Impressió 3D Formigó Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Materials i estructures de formigó |
| Sumario: | Owing to the formwork-free construction, 3D concrete printing shows great prospects in construction industry. However, this manner also results in non-verified geometric precision, which is prone to generate uncontrolled printing deviations between the actual and designed print paths. To include this in buildability modeling, a process-dependent stochastic method is proposed based on the characteristics of the 3D printing process. Then, a stochastic analysis procedure is developed by Monte Carlo simulation and verified by the 3D-printed concrete (3DPC) cylinder test. Finally, the verified method is applied to the stochastic analysis of 3DPC buildability modeling. By studying two structural shapes and four correlation times, a clear understanding of the influence of printing deviation as well as guidances for the design of 3D printing process are obtained. |
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