The modern scope of boundary element methods (BEM) for acoustics is reviewed in this
paper. Over the last decades the BEM has gained popularity despite suffering from …

The in situ absorption characteristics of sound-absorbing samples are generally estimated
inversely from sound field measurements above the sample's surface. However, the entire …

Sound field reconstruction (SFR) augments the information of a sound field captured by a
microphone array. Using basis function decomposition, conventional SFR methods are …

Reconstructing the sound field in a room is an important task for several applications, such
as sound control and augmented (AR) or virtual reality (VR). In this paper, we propose a …

Highly accurate predictions from large-scale numerical simulations are associated with
increased computational resources and time expense. Consequently, the data generation …

Interior acoustic problems require accurately representing the boundary conditions of all
acoustically interacting surfaces to achieve precise acoustic predictions. The complex …

Uncertainty quantification (UQ) of deep learning (DL)-based acoustic estimation methods is
useful for establishing confidence in the predictions. This is crucial to enable the real-world …

Sound radiation from vibrating structures is a crucial concern in the vehicle design process.
One effective tool to recover vibration patterns on surfaces is the surface contribution …

A method to attenuate the global acoustic pressure of low-frequency harmonic acoustic
disturbances in the interior of a small aircraft cabin mockup is proposed herein. This method …

In this study, we introduce a method for estimating sound fields in reverberant environments
using a conditional invertible neural network (CINN). Sound field reconstruction can be …