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Low-frequency behaviour of a sound field inside a reverberant room: Measurements and numerical prediction tools
Lund University, Sweden.
Lund University, Sweden.
RISE - Research Institutes of Sweden, Built Environment, Building Technology.ORCID iD: 0000-0003-0083-1122
2019 (English)In: Building Acoustics, ISSN 1351-010X, Vol. 26, no 2, p. 93-108Article in journal (Refereed) Published
Abstract [en]

The low-frequency properties of a room (where statistical methods in the standards cannot be applied directly) are often hard to estimate due to strong modal behaviour. The situation gets complicated by the fact that variations in the furnishing can have an impact on the modal patterns and therefore can also influence the results of measurements at certain points, in spite of the room properties being the same. The latter can hinder the achievement of acoustic comfort in dwellings, even if they comply with the current regulations, especially due to the fact that low-frequency noise is left outside the scope, since the standards currently in force do not require measurements below 100 Hz (albeit Sweden set 50 Hz as lower limit). This article aims to study variations of the sound field that results of varying the position of three moderately absorbing boards, which emulate how very sparse furniture can impact the sound field when relocated in the room. Furthermore, the potential of numerical models as prediction tools for such problems is pointed out.

Place, publisher, year, edition, pages
SAGE Publications Inc. , 2019. Vol. 26, no 2, p. 93-108
Keywords [en]
finite element method, low-frequency sound, modal behaviour, numerical prediction tools, Room acoustics, Acoustic field measurement, Acoustic fields, Forecasting, Numerical methods, Reverberation, Acoustic comfort, Current regulations, Low-Frequency Noise, Low-frequency sounds, Numerical prediction tool, Reverberant room, Architectural acoustics
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Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-38683DOI: 10.1177/1351010X19840974Scopus ID: 2-s2.0-85064676032OAI: oai:DiVA.org:ri-38683DiVA, id: diva2:1315023
Available from: 2019-05-10 Created: 2019-05-10 Last updated: 2019-06-28Bibliographically approved

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CiteExportLink to record
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  • apa
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