Prediction of maximum fast time-weighted sound pressure levels from time-varying structure-borne sound sources in heavyweight buildings

Reinhold, S, Hopkins, C ORCID: 0000-0002-9716-0793 and Seiffert, G ORCID: 0000-0003-0268-7056 (2019) Prediction of maximum fast time-weighted sound pressure levels from time-varying structure-borne sound sources in heavyweight buildings. In: ICA, 2019-9-9 - 2019-9-13, Aachen.

Text Reinhold Hopkins Seiffert Sound insulation - prediction of Fast time-weighted SPL from time varying sources ICA 2019.pdf - Published version Download (2MB) | Preview

Abstract

At present the prediction model in EN 12354-5 for sound transmission due to structure-borne excitation from building machinery is limited to sources running under steady-state conditions. As machinery noise also needs to be assessed under time-varying conditions, building regulations on installation noise in some European countries set requirements based on the maximum Fast time-weighted sound pressure level in the receiving room. This paper proposes an approach that could predict this information at the design stage and validates it using idealised time-varying signals applied via a shaker into a concrete floor. A heavyweight reception plate is used to quantify the structure-borne sound power using equivalent continuous levels over 125ms time periods from which the highest value can be used as the power input into an SEA or SEA-based prediction model. An empirical correction (developed in previous work by the authors) is then applied to the output from this model to estimate the maximum Fast time-weighted sound pressure level. This approach is validated with measurements in a room below a concrete floor (where there is suppressed flanking transmission) from which the results show close agreement between predictions and measurements for one-third octave bands and A-weighted values.

Item Type:	Conference or Workshop Item (Unspecified)
Depositing User:	Symplectic Admin
Date Deposited:	13 Sep 2019 07:19
Last Modified:	27 Apr 2024 12:18
DOI:	10.18154/RWTH-CONV-238845
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3054454