Abstract
It is well known that the uncertainty of input data has a great influence on the accuracy of room acoustics simulations. The aforementioned accuracy is significantly influenced by the selection of the acoustic properties of room-delimiting materials. Moreover, simulation errors are attributed to the fact that rooms can be very irregular and sound diffusion can be uneven, and thus sound absorption can be unevenly distributed over the surfaces. Therefore, a very important element is the validation of the simulation model of interior acoustics, even when we use ready-made software dedicated to interior acoustics for the simulation. In the article, the reverberation room model simulated in the ODEON program was subjected to validation. The program is based on a hybrid method combining the ray and virtual source methods. For the validation, appropriate measurements of the reverberation time in that room were carried out. The validation was undertaken using the criterion of correct validation, consisting of comparing the value of the comparison error and the value of the validation uncertainty.
Highlights
The acoustics of a room depends on the geometry, sound absorption or diffusivity of the acoustic field [1–3]
The acoustic absorption of the room was corrected in such a way as to ensure the conditions of good validation described by Formula (5)
As it can be observed, the correlation is at the level of r = 0.9986, which indicates a very Thhigehmcoaninvegrogaelnwceaosftthhee dreesmulotsn,satrnadtitohne otefstthperovbaalibdilaittiyonp
Summary
The acoustics of a room depends on the geometry, sound absorption or diffusivity of the acoustic field [1–3]. The fast multipole method (FMM) enables BEM to handle large acoustic models at high frequencies This allows one to efficiently solve large limited problems, such as those of room acoustics [18]. It is not certain that, given the complexity of the algorithms and numerical uncertainties, wave methods provide the best results These techniques are expensive in terms of computation, especially in the range of medium and high frequencies, and they require knowledge of boundary surfaces of rooms, which is very often unavailable to the researcher (i.e., complex surface impedance). At the stage of acoustic adaptation, the problem becomes significant, as most often the exact sound absorption or sound reflection coefficients of the materials present in the room are not known. In laboratory conditions do we know both the acoustic absorption of the room and the behavior of the acoustic wave under various conditions of air humidity or air temperature
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