Abstract | Tools to predict sound transmission through building elements are beneficial from both a marketing and a research standpoint. Prediction models can assist with the optimization of element performance and often reduce both cost and time in projects. However, the more physical phenomena are to be included in the model, the more input data that is needed, which in some cases can be quite time-consuming and costly to collect. A balance is needed between the input and modeling effort and the output, which is usually delivered in one third octave frequency bands or single number ratings. Many different types of models are commonly used, including analytical, numerical, and empirical are used, all of which have advantages and disadvantages. In this paper, the latter type is presented using a set of physical properties of lightweight wood elements, and the errors made in the prediction are quantified. The disadvantage of empirical compared to analytical modeling is that the physical phenomena are more difficult to identify. The advantage is often the simplicity and accuracy of the prediction results. |
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