Minimal input models for sound level prediction in fitted enclosed spaces

Abstract

Highly advanced computer models for the prediction of sound fields in rooms are now available. However, these tools are complex and require a skilled acoustician to use effectively and hence there is a need for more simpler models. A simple model needs to be accurate and quick to use, but most importantly should require a minimum amount of input data to construct the model. This is only achievable if the scope of the model is reduced to one or two acoustic parameters. Three simple models were investigated two empirical based formulae and a geometric acoustic model. The models were validated in six configurations of an experimental room simulating a textile workshop and two real engineering workrooms. It was found that all the models executed near instantaneously, but the obtainable prediction accuracy and consistency was proportional to the amount of input data. The models are now available on the Web, running directly inside Netscape or Internet Explorer.