Next Article in Journal
The Development of Piezo-Driven Tools for Cellular Piercing
Next Article in Special Issue
Validation of a Numerical Model for the Prediction of the Annoyance Condition at the Operator Station of Construction Machines
Previous Article in Journal
High-Speed Visual Analysis of Fluid Flow and Heat Transfer in Oscillating Heat Pipes with Different Diameters
Previous Article in Special Issue
An Experimental Study on the Influence of Soundscapes on People’s Behaviour in an Open Public Space
Article Menu

Export Article

Open AccessArticle
Appl. Sci. 2016, 6(11), 322; doi:10.3390/app6110322

Advanced Rating Method of Airborne Sound Insulation

IBN Bauphysik GmbH & Co. KG, Theresienstr. 28, 85049 Ingolstadt, Germany
Academic Editor: Gino Iannace
Received: 15 September 2016 / Revised: 19 October 2016 / Accepted: 20 October 2016 / Published: 26 October 2016
(This article belongs to the Special Issue Noise and Vibration Control in the Built Environment)
View Full-Text   |   Download PDF [2068 KB, uploaded 26 October 2016]   |  

Abstract

This paper describes an advanced calculation scheme based on the loudness level linked to the specific fluctuation strength yielding a weighted normalized loudness level difference as a single number value. This advanced rating method is a useful tool investigating airborne sound insulation. Evidence has been presented that a simple level difference is not a suitable method to exhibit the effects of a given signal to the airborne sound insulation. Additionally, while using a weighted normalized loudness level difference, the effect of different test signals results in a significant influence in the single number value. By analyzing the difference between the standard airborne sound insulation value and the weighted normalized loudness level difference, the sound pressure level that is transmitted through a partition is demonstrated to contain important details concerning the subjective assessment. This study supports findings in the literature that airborne sound insulation performance is significantly dependent on what type of sound signal is used. This paper investigates six different thicknesses of a sand-lime brick using five different sound samples. The study indicates that no single number value can be modeled at this time in relation to a certain construction to fulfill comparable results related to a hearing sensation. View Full-Text
Keywords: airborne sound insulation; subjective assessment; loudness; sound signal; level difference; transmission loss; weighted sound reduction index; assessment; noise awareness airborne sound insulation; subjective assessment; loudness; sound signal; level difference; transmission loss; weighted sound reduction index; assessment; noise awareness
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Neubauer, R.O. Advanced Rating Method of Airborne Sound Insulation. Appl. Sci. 2016, 6, 322.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top