2009
DOI: 10.1260/135101009789877059
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On the Uncertainty of the EN12354-1: Estimate of the Flanking Sound Reduction Index Due to the Uncertainty of the Input Data

Abstract: Equations to calculate the uncertainty of the EN12354-1 estimate of the flanking sound reduction index due to the uncertainty of the input data are derived using the method of the ISO Guide to the Expression of Uncertainty in Measurement (GUM). The uncertainty equations have been validated using Monte Carlo simulations. It is shown that the magnitude of the uncertainty depends on the uncertainty of the resonant sound reduction indices of the elements, the uncertainty of the vibration reduction index and the un… Show more

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Cited by 10 publications
(6 citation statements)
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“…This can be attributed to differences in the modelling such as the mesh, element type, excitation points, and post-processing. Mahn and Pearse [24] show that for this direction-average quantity, the uncertainty also depends on the difference between the directional velocity level differences. For these reasons the average difference would be expected to vary for different junctions.…”
Section: Finite Element Modelling With Fem and Sfemmentioning
confidence: 99%
“…This can be attributed to differences in the modelling such as the mesh, element type, excitation points, and post-processing. Mahn and Pearse [24] show that for this direction-average quantity, the uncertainty also depends on the difference between the directional velocity level differences. For these reasons the average difference would be expected to vary for different junctions.…”
Section: Finite Element Modelling With Fem and Sfemmentioning
confidence: 99%
“…In the building, the transmission of vibrations through the junctions of the structure are very important in order to predict the indirect sound insulation. Final design quality highly depends on the uncertainty of input parameters such as D ν,ij [10]. But it depends on the specific situation (dimensions, boundary conditions, damping) or the laboratory conditions.…”
Section: Introductionmentioning
confidence: 99%
“…The error bars in the figure are the 95% confidence interval based on the standard deviation of repeatability of the measurements calculated according to GUM. 11 The Calculated Input Data Method is shown to over predict the flanking sound reduction index by up to 15.5 dB. The CSTB correction factor based on the measured radiation efficiencies was within 2 dB and a maximum of 6.9 dB of the measured value.…”
Section: Resultsmentioning
confidence: 81%