Applications of a hybrid method to a plate with simply supported boundary conditions

Churchill, Claire; Meggitt, Joshua W R; Wong-Mcsweeney, Daniel; Cox, Trevor J; Woodcock, James

Abstract

* The EN12354 building acoustics prediction standards are based on the statistical energy analysis (SEA) method. In a traditional SEA path analysis, lightweight or heavyweight materials have different principal paths that determine the sound insulation for the specified building acoustics frequency range (50Hz-5000Hz). Different building materials require different applications of the engineering method (EN12354) to determine in-situ sound insulation with flanking. A hybrid method, such as the (finite element method) FEM-SEA hybrid approach, offers an alternative theoretical framework to predict in situ sound insulation with the capacity to combine vastly different methods. In a hybrid model, different power flow contributions (due to the deterministic and direct-field energies) are naturally separated into different matrices. This work investigates the feasibility of using a hybrid model to predict sound insulation. The hybrid method is applied to three different materials. These models are compared against traditional SEA and infinite plate models.

Citation

Churchill, C., Meggitt, J. W. R., Wong-Mcsweeney, D., Cox, T. J., & Woodcock, J. (2023). Applications of a hybrid method to a plate with simply supported boundary conditions. https://doi.org/10.61782/fa.2023.0186

• Journal Article Type: Conference Paper
• Conference Name: 10th Convention of the European Acoustics Association (Forum Acusticum)
• Conference Location: Turin, Italy
• Acceptance Date: Jul 10, 2023
• Online Publication Date: Sep 11, 2023
• Publication Date: Sep 11, 2023
• Deposit Date: Sep 28, 2023
• Publicly Available Date: Oct 2, 2023
• Journal: Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023
• DOI: https://doi.org/10.61782/fa.2023.0186
• Keywords: sound insulation (SI); hybrid model; building acoustics
• Related Public URLs: https://www.fa2023.org/