| id |
ijac202321105 |
| authors |
Zargar, Seyed Hossein; Jaleh Sadeghi; Nathan C. Brown |
| year |
2023 |
| title |
Agent-based modelling for early-stage optimization of spatial structures |
| source |
International Journal of Architectural Computing 2023, Vol. 21 - no. 1, pp. 8499 |
| summary |
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 formfound shape in terms of structural performance. |
| keywords |
Agent-based modelling, design space exploration, structural optimization, form-finding, spatial structures |
| series |
journal |
| references |
Content-type: text/plain
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| last changed |
2024/04/17 14:30 |
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