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Establishing Grounds for Building Orientation Mapping and Validation of Noise Level Correlation Modeling on Aircraft Take-off and Landing

Author(s):


Medium: journal article
Language(s): English
Published in: Buildings, , n. 1, v. 9
Page(s): 27
DOI: 10.3390/buildings9010027
Abstract:

This research highlights correlation modeling between residential buildings orientation toward the runway as noise source and noise level. Many studies used noise mapping to identify noise performance in cities, but none of them discussed building orientation as an effort to reduce noise. This research aims to resolve the noise exceeding threshold of 55 dB for landed residential area. The method used was empirical experiments based on ISO 1996-1 using a 1:1-scaled building block model that was rotatable on its axis on various orientation angles. To examine the difference in sound reduction patterns, measurements were carried out during aircraft take-off and landing in three measurement conditions: outside the building model (OS), inside the model with both closed (CW) and open window (OW). The relative values of sound reduction in every angle were mapped and a Correlation Modeling was then empirically developed and theoretically validated by origin-8 software. As a result, the empirical validation formula deviation averaged only 1.20% and 1.13% during take-off and landing respectively from the actual noise and the theoretical validation. Furthermore, the new modeling was verified as a derivation from the grand theory of inverse square law and could be applied for master plan design.

Copyright: © 2019 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10324919
  • Published on:
    22/07/2019
  • Last updated on:
    02/06/2021
 
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