斜め入射音に対する部材の遮音性能予測システムの開発
斜め入射音に対する遮音性能の把握は，幹線道路や鉄道に近接する高層ビルの室内音環境などを予測する上で重要である。この性能が事前に精度よく予測できれば，建物内の音環境の悪化リスクの低減，また適切な性能の製品を選定することによるVEに繋がる。そこで，斜め入射音に対するガラス等の建材の遮音性能を予測するシステムを開発した。単板ガラス，複層ガラスを用いた実験室実験結果と予測結果を比較することで，開発したシステムの妥当性を示した。
キーワード：音響透過損失，斜め入射，数値解析，最適化AI
＊１ 技術センター 先進技術開発部 AI連携技術開発室
Development of Sound Insulation Performance Prediction System for Oblique Incident Sound Waves
Understanding the sound insulation performance of building elements under oblique-incidence conditions is important for the assessment of the indoor sound environment of high-rise buildings that face roads or railways. The accurate prediction of such sound insulation performance not only prevents the deterioration of the sound environment in buildings, but also facilitates value engineering by making it possible to select products with appropriate performance in building designs. We have therefore developed a system for predicting the sound insulation performance of building elements such as glass under oblique-incidence conditions. To verify the developed system, its performance predictions were compared with laboratory experiment results obtained using both single- and double-layered glass.
Keywords: sound transmission loss, oblique-incidence condition, numerical analysis, optimization AI
*1 AI Utilization Technology Development Section, Advanced Technology Development Department, Taisei Advanced Center of Technology