Issue |
Int. J. Metrol. Qual. Eng.
Volume 8, 2017
|
|
---|---|---|
Article Number | 19 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/ijmqe/2017009 | |
Published online | 09 June 2017 |
Research Article
NIS method for uncertainty estimation of airborne sound insulation measurement in field
Department of Acoustics, Mass and Force Metrology Division, National Institute for Standards (NIS),
Giza, Egypt
⁎ Corresponding author: tarek31.uv@gmail.com
Received:
1
October
2016
Accepted:
2
May
2017
In structures, airborne sound insulation is utilized to characterize the acoustic nature of barriers between rooms. However, the assessment of sound insulation index is once in a while troublesome or indeed, even questionable, both in field and laboratory measurements, notwithstanding the way that there are some unified measurement methodology indicated in the ISO 140 series standards. There are issues with the reproducibility and repeatability of the measurement results. A few troubles might be brought on by non-diffuse acoustic fields, non-uniform reverberation time, or blunders of the reverberation time measurements. Some minor issues are additionally postured by flanking transmission. In this paper, investigation of the uncertainties of the above specified measurement parts and their impact on the consolidated uncertainty in 1/3-octave frequency band. The total measurement uncertainty model contributes several different partial uncertainties, which are evaluated by the method of type A or type B. Also, the determination of the sound reduction index decided by ISO 140-4 has been performed.
Key words: sound insulation / sound reduction index / reverberation time / uncertainty
© T.M. El-Basheer et al., published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.