Agent-based modelling for early-stage optimization of spatial structures
| Autor: | Seyed Hossein Zargar, Jaleh Sadeghi, Nathan C. Brown |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | International Journal of Architectural Computing. 21:84-99 |
| ISSN: | 2048-3988 1478-0771 |
| DOI: | 10.1177/14780771221143493 |
| Popis: | Agent-based modelling (ABM) is a complex problem-solving approach that can be employed in early-stage parametric design, and certain design applications may benefit from such a bottom-up strategy. This research investigates the potential of ABM for structural design optimization. A case study of a form-found cantilevered truss is presented that has a doubly curved shape over a regular grid, resulting in individual members with different lengths across the structure. It is hypothesized that an agent-based approach might generate an irregular grid of similar or better structural performance, but with more uniform length of individual elements. This approach could be useful when designing a global structural form from a kit of parts or adaptively reusing a disassembled existing structure with regular member lengths. A series of ABM simulations are conducted with different hyperparameters, and the generated designs are compared to the original form-found shape in terms of structural performance. |
| Databáze: | OpenAIRE |
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