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- W1968338889 abstract "Empirical models were developed for predicting frequency-varying fitting densities in industrial workshops for use in the prediction of noise levels by a ray-tracing model. Eleven typical workshops with varying dimensions, types, quantities and distributions of fittings, in which octave-band sound-propagation curves and the fitting dimensions had been measured, were involved. The workshops were modeled and sound-propagation curves were predicted for a range of fitting densities. The predicted curves were compared with the measured curves to determine the ‘best-fit’ fitting density. Linear-regression analysis was then used to find empirical models for predicting the best-fit fitting densities from physical parameters calculated from the fitting and workshop dimensions. The average fitting-to-workshop height ratio, the fitting-to-workshop volume ratio and the number of fittings were the parameters that predicted the fitting density best. Preliminary validation work, involving the comparison of sound-propagation curves predicted with the empirically-predicted fitting densities by ray tracing and the curves measured in four other workshops, suggests that the empirical models are inherently valid." @default.
- W1968338889 created "2016-06-24" @default.
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- W1968338889 date "2006-01-01" @default.
- W1968338889 modified "2023-09-27" @default.
- W1968338889 title "Empirical Prediction of Workshop Fitting Densities for Noise Prediction by Ray Tracing" @default.
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- W1968338889 doi "https://doi.org/10.1260/135101006776324851" @default.
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