Acoustic prediction and testing for "Basajaun" EU Project demo building using neural network, prediction for innovative wooden partition wall with composites and bio-based insulationJean-Luc Kouyoumji, Delphine Bard, Mohamad Bader Eddin, Sylvain Ménard
"Basajaun" is a major European innovation action about sustainable building with wood. The main objective is to demonstrate how wood construction chains can be optimized to foster both rural development and urban transformation whilst being connected with sustainable forest management in Europe. The project scrolls the full value chain of wood construction in Europe, and it include a demo project in south of France demonstrating implementation of various innovations, among which the studied innovative facade made of pultruded composites, structural insulated panels (SIP) plywood, wooden cladding and bio-based insulation. In building projects, partition walls are commonly designed for mechanical stability, thermal insulation and fire safety, in this article authors focus on acoustic aspects starting from design, optimization, lab testing, implementation specifications and in situ validation. For the design and optimization phase, authors developed prediction tool based on Artificial Intelligence. Programming and data feeding of the tool is described, and predictions are compared to laboratory measurements.