Interscalable material microstructure organization in performance-based computational design
Various parameters can be integrated in material-based computational design in architecture. Materials are the main driver of these processes and evaluated with the constraints related to the form, performance, and fabrication techniques. However, current methodologies mostly involve investigating a...
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| Veröffentlicht in: | Frontiers of architectural research Jg. 13; H. 6; S. 1308 - 1326 |
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Nanjing
Elsevier B.V
01.12.2024
Higher Education Press KeAi Publishing Communications Ltd KeAi Communications Co., Ltd |
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| ISSN: | 2095-2635, 2095-2635 |
| Online-Zugang: | Volltext |
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| Abstract | Various parameters can be integrated in material-based computational design in architecture. Materials are the main driver of these processes and evaluated with the constraints related to the form, performance, and fabrication techniques. However, current methodologies mostly involve investigating already existing materials. Studies on computational material design, in which new materials are developed by designing their microstructures in response to the performative issues, are generally undertaken at the material scale, and not adopted to the architectural design process yet. To resolve this issue, the methodology titled Interscalable Material Microstructure Organization in Performance-based Computational Design (I2MO_PCD) is developed and presented in three stages, including (1) identification of different types of material microstructures, (2) computational material design, and (3) prototyping. Data-based material modelling and visualization, and algorithmic modelling techniques are utilized, followed by various performance simulations as a part of an iterative process. New microstructure organizations are designed computationally, organized under three main groups as linear-curvilinear, crystal and metaball-voronoi. The outcomes of different performance analyses, including structure, radiation, direct sun hours, acoustics and thermal bridge were compared. Thus, the role of geometrical organization of microstructures, scales and material types in different performance computations were identified, by designing and fabricating synthetic materials. |
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| AbstractList | Various parameters can be integrated in material-based computational design in architecture. Materials are the main driver of these processes and evaluated with the constraints related to the form, performance, and fabrication techniques. However, current methodologies mostly involve investigating already existing materials. Studies on computational material design, in which new materials are developed by designing their microstructures in response to the performative issues, are generally undertaken at the material scale, and not adopted to the architectural design process yet. To resolve this issue, the methodology titled Interscalable Material Microstructure Organization in Performance-based Computational Design (I2MO_PCD) is developed and presented in three stages, including (1) identification of different types of material microstructures, (2) computational material design, and (3) prototyping. Data-based material modelling and visualization, and algorithmic modelling techniques are utilized, followed by various performance simulations as a part of an iterative process. New microstructure organizations are designed computationally, organized under three main groups as linear-curvilinear, crystal and metaball-voronoi. The outcomes of different performance analyses, including structure, radiation, direct sun hours, acoustics and thermal bridge were compared. Thus, the role of geometrical organization of microstructures, scales and material types in different performance computations were identified, by designing and fabricating synthetic materials. Various parameters can be integrated in material-based computational design in architecture. Materials are the main driver of these processes and evaluated with the constraints related to the form, performance, and fabrication techniques. However, current methodologies mostly involve investigating already existing materials. Studies on computational material design, in which new materials are developed by designing their microstructures in response to the performative issues, are generally undertaken at the material scale, and not adopted to the architectural design process yet. To resolve this issue, the methodology titled Interscalable Material Microstructure Organization in Performance-based Computational Design (12MO_PCD) is developed and presented in three stages, including (1) identification of different types of material microstructures, (2) computational material design, and (3) prototyping. Data-based material modelling and visualization, and algorithmic modelling techniques are utilized, followed by various performance simulations as a part of an iterative process. New microstructure organizations are designed computationally, organized under three main groups as linear-curvilinear, crystal and metaball-voronoi. The outcomes of different performance analyses, including structure, radiation, direct sun hours, acoustics and thermal bridge were compared. Thus, the role of geometrical organization of microstructures, scales and material types in different performance computations were identified, by designing and fabricating synthetic materials. |
| Author | Yazici, Sevil |
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| Cites_doi | 10.1016/j.foar.2021.12.008 10.1038/s41524-020-0309-6 10.1016/S0926-5805(98)00089-2 10.1177/1478077118799491 10.1115/1.4036649 10.1016/j.compstruct.2019.111366 10.1016/j.actamat.2015.02.014 10.1016/j.pmatsci.2018.01.005 10.1038/natrevmats.2017.82 10.1080/00038628.2015.1072705 10.1080/00038628.2017.1416575 10.1016/j.autcon.2022.104426 10.1002/jbm.b.34226 10.1016/j.cad.2020.102827 10.1007/s004190000088 10.1016/j.autcon.2016.02.002 |
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| Keywords | Performance computation Material microstructure Computational design Architectural design |
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| SubjectTerms | 3-D printers Algorithms Architects Architectural design Architecture Artificial intelligence Computational design Design Genomes Geometry Material microstructure Microstructure Performance computation Performance evaluation Prototyping Radiation Simulation Thermal bridges Visualization |
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| Title | Interscalable material microstructure organization in performance-based computational design |
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