Computational Methods and AI-Assisted Design of Acoustically Performative Generative Panel Systems

Computational Methods and AI-Assisted Design of Acoustically Performative Generative Panel Systems

In recent years, with regulations and awareness raising activities of health organizations, prevention of noise pollution and the management and control of environmental noise have become increasingly important. At the same time, collective use areas such as common spaces and multi-purpose halls have started to gain more and more importance. However, the rethinking of how to use these common areas more rationally, especially with the recent COVID-19 processes, has created a potential at the intersection of these two situations. Acoustic design proposals, which have mostly been suggested in the literature to respond to a constant need, have been addressed as an adaptive solution in this research. In this context, an absorber panel system has been proposed to respond to different usage scenarios and different acoustic performance needs. In the proposed three-stage research, it is planned to first create the parametric model of the system and then create the generative system with artificial intelligence supporting computational design tools in this model. Finally, design alternatives are fabricated by additive manufacturing technologies.

Project Team

Arzu Gönenç Sorguç, Muge Krusa Yemişcioğlu, Ozan Yetkin

Funding