| Issue |
SHS Web Conf.
Volume 47, 2018
SCAN’18 – 8e Séminaire de Conception Architecturale Numérique
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 9 | |
| Section | Actes de la conférence SCAN’18 | |
| DOI | https://doi.org/10.1051/shsconf/20184701013 | |
| Published online | 23 October 2018 | |
Émergence de morphologies pour l’acoustique des espaces de performance
MAP-ARIA, UMR CNRS-MCC 3495, 3 Rue Maurice Audin, 69120 Vaulx-en-Velin
1 Corresponding author: ant.gros@gmail.com
L’acoustique est un vecteur important de qualité de l’ambiance architecturale dans un espace. Elle est aussi une contrainte forte pour le volume correspondant, dont la maîtrise des altérations pour améliorer la perception sonore n’est pas triviale. Nous proposons un outil d’aide à la décision a priori de la forme architecturale, utilisant un algorithme génétique multicritère couplé à un système de simulation acoustique et de calcul des mesures ISO. Son utilisation permet au concepteur l’émersion de morphologies innovantes et qualitatives, aptes à mettre en espace les visions contemporaines des espaces de performance.
Abstract
Acoustics is an important vector of quality for the architectural ambiance presented in a space. It is also a strong constraint to the corresponding volume, whose control of alterations to improve sound perception is not trivial. We propose an a priori decision support tool for architectural form, using a multi-criteria genetic algorithm coupled to an acoustic simulation and ISO measurement calculation system. Its use allows the designer the emergence of innovative and qualitative morphologies, able to put into space contemporary visions of performance spaces.
Mots clés : Aide à la décision / ambiance sonore / acoustique analytique / algorithme génétique multicritère
Key words: Decision-making tool / multi-criteria genetic algorithm / architectural ambiance / analytical acoustics
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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