title: A hybrid approach for predicting the distribution of vibro-acoustic energy in complex built-up structures.
abstract: Finding the distribution of vibro-acoustic energy in complex built-up structures in the mid-to-high frequency regime is a difficult task. In particular, structures with large variation of local wavelengths and/or characteristic scales pose a challenge referred to as the mid-frequency problem. Standard numerical methods such as the finite element method (FEM) scale with the local wavelength and quickly become too large even for modern computer architectures. High frequency techniques, such as statistical energy analysis (SEA), often miss important information such as dominant resonance behavior due to stiff or small scale parts of the structure. Hybrid methods circumvent this problem by coupling FEM/BEM and SEA models in a given built-up structure. In the approach adopted here, the whole system is split into a number of subsystems that are treated by either FEM or SEA depending on the local wavelength. Subsystems with relative long wavelengths are modeled using FEM. Making a diffuse field assumption for the wave fields in the short wave length components, the coupling between subsystems can be reduced to a weighted random field correlation function. The approach presented results in an SEA-like set of linear equations that can be solved for the mean energies in the short wavelength subsystems.
authors: School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, United Kingdom. Dmitrii.Maksimov@nottingham.ac.uk
authors: Dmitrii N
authors: DN
authors: Maksimov
authors: Gregor
authors: G
authors: Tanner
mesh_terms: D000162:Acoustics / Q000295:instrumentation*; D003198:Computer Simulation; D004548:Elasticity; D004867:Equipment Design; D020342:Finite Element Analysis; D016014:Linear Models; D015233:Models, Statistical; D008962:Models, Theoretical; D009010:Monte Carlo Method; D009038:Motion; D009716:Numerical Analysis, Computer-Assisted; D011312:Pressure; D015203:Reproducibility of Results; D013016:Sound; D013269:Stochastic Processes; D014732:Vibration