id |
acadia12_479 |
authors |
Castorina, Giulio |
year |
2012 |
title |
Performative Topologies: An Evolutionary Shape Optimization Framework for Daylighting Performance Coupling a Particle-Spring System With an Energy Simulation Tool |
source |
ACADIA 12: Synthetic Digital Ecologies [Proceedings of the 32nd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-62407-267-3] San Francisco 18-21 October, 2012), pp. 479-490 |
doi |
https://doi.org/10.52842/conf.acadia.2012.479
|
summary |
This paper develops a methodological approach for use in design practice which combines an external simulation tool (EnergyPlus™) with an evo-lutionary optimisation strategy for the form-finding of complex fenestra-tion systems. On one hand, based on previous research, it presents a novel approach for the shape morphogenesis that exploits a generative algorithm technique to control a limited set of parameters whilst on the other hand it facilitates the integration of a simulation tool capable of handling increasing levels of complexity with greater data interoperabil-ity. In doing so it will argue the heuristic potential of the proposed meth-od in aiding the designers’ decision making whilst increasing the formal possibilities of their final design solutions. |
keywords |
Performance-based design , Genetic Algorithm (GA) , daylighting simulation , shape optimisation , decision support system (DSS) |
series |
ACADIA |
type |
normal paper |
email |
|
full text |
file.pdf (402,412 bytes) |
references |
Content-type: text/plain
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last changed |
2022/06/07 07:55 |
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