A Validated Finite Element Model for Room Acoustic Treatments with Edge Absorbers
Florian Kraxberger, Eric Kurz, Werner Weselak, Gernot Kubin, Manfred, Kaltenbacher, Stefan Schoder

TL;DR
This paper presents a validated finite element model capable of accurately simulating the effects of edge absorbers on room acoustics, addressing limitations of traditional geometrical methods at low frequencies.
Contribution
A novel finite element simulation model for edge absorbers is developed and validated, enabling detailed analysis of low-frequency acoustic interactions in rooms.
Findings
Finite element model predicts transfer functions with 3.25-4.11dB accuracy.
Model effectively visualizes interaction mechanisms between room and absorber.
Validated against experimental data in a reverberation chamber.
Abstract
Porous acoustic absorbers have excellent properties in the low-frequency range when positioned in room edges, therefore they are a common method for reducing low-frequency reverberation. However, standard room acoustic simulation methods such as ray tracing and mirror sources are invalid for low frequencies in general which is a consequence of using geometrical methods, yielding a lack of simulation tools for these so-called edge absorbers. In this article, a validated finite element simulation model is presented, which is able to predict the effect of an edge absorber on the acoustic field. With this model, the interaction mechanisms between room and absorber can be studied by high-resolved acoustic field visualizations in both room and absorber. The finite element model is validated against transfer function data computed from impulse response measurements in a reverberation chamber…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAcoustic Wave Phenomena Research · Hearing Loss and Rehabilitation · Speech and Audio Processing
