Prediction of rain noise in buildings using empirical models for artificial and natural rainfall



Hopkins, C ORCID: 0000-0002-9716-0793 and Yu, Y
(2020) Prediction of rain noise in buildings using empirical models for artificial and natural rainfall. In: Insitute of Acoustics, 2020-10-5 - 2020-10-9, Online.

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Abstract

The use of lightweight roofs and roof glazing can lead to problems with rain noise inside buildings that interferes with speech intelligibility, acoustic comfort and listening conditions. Laboratory measurement procedures are described in ISO 10140 for artificial rain which can be useful to compare individual roof elements. However, it is awkward to interpret and apply laboratory rain noise data determined with a single raindrop diameter that represents heavy rain to natural rainfall in the UK so that the in situ rain noise can be predicted. This requires validated prediction models for the structure-borne sound power input with both artificial and natural rainfall. For this reason, empirical models have been developed to determine the time-dependent force on horizontal and inclined plates with artificial and natural rainfall. The empirical models were developed using experimental work with wavelet deconvolution for single drops impacting at terminal velocity on a horizontal glass plate with and without a water layer, and an inclined glass plate at various angles up to 60°. Use of the models to compare different types of rainfall was validated with artificial rain. The validated model has been used to calculate conversion factors between laboratory measurements with artificial rain to other situations with natural or artificial rainfall, and between measurements on roof elements that are inclined at different angles.

Item Type: Conference or Workshop Item (Unspecified)
Depositing User: Symplectic Admin
Date Deposited: 07 Oct 2020 14:51
Last Modified: 27 Apr 2024 12:49
URI: https://livrepository.liverpool.ac.uk/id/eprint/3103798