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Cocho-Bermejo_Vogiatzaki_2022.pdf (4.29 MB)

Phenotype Variability Mimicking as a Process for the Test and Optimization of Dynamic Facade Systems

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posted on 2023-07-26, 15:55 authored by Ana Cocho-Bermejo, Maria Vogiatzaki
A genetic algorithm and an artificial neural network are deployed for the design of a dynamic multi-layered façade system that adapts in real-time to different weather and occupants’ needs scenarios. The outputs are a set of different performances of the façade insulation cushions, optimized by the previous run of the genetic algorithm. A façade system of ETFE cushions is considered for them to learn from environmental data models. Each façade cushion is set up as an artificial neuron that is linked to the behavior and temperature of the others. The proposed outputs are a set of different performances of the façade system that are optimized through running the genetic algorithm. Façade neurons are configured as genes of the system that is abstractly represented on a digital model. The computational model manages cushion patterns’ performances through several phenotypical adaptations, suggesting that the proposed facade system maximizes its thermal efficiency in different scenarios.

History

Refereed

  • Yes

Volume

7

Issue number

3

Page range

85

Publication title

Biomimetics

ISSN

2313-7673

Publisher

MDPI

File version

  • Published version

Language

  • eng

Legacy posted date

2022-07-01

Legacy creation date

2022-07-01

Legacy Faculty/School/Department

Faculty of Science & Engineering

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