Self-adaptive grids for noise mapping refinement

Asensio Rivera, César and Recuero López, Manuel and Ruiz González, Mariano and Ausejo Prieto, Miguel and Pavón García, Ignacio (2011). Self-adaptive grids for noise mapping refinement. "Applied Acoustics", v. 72 (n. 8); pp. 599-610. ISSN 0003-682X.


Title: Self-adaptive grids for noise mapping refinement
  • Asensio Rivera, César
  • Recuero López, Manuel
  • Ruiz González, Mariano
  • Ausejo Prieto, Miguel
  • Pavón García, Ignacio
Item Type: Article
Título de Revista/Publicación: Applied Acoustics
Date: July 2011
ISSN: 0003-682X
Volume: 72
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Mecánica y de Fabricación [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Noise maps are usually represented as contour or isolines maps describing the sound levels in a region. Using this kind of representation the user can easily find the noise level assigned to every location in the map.

But the acoustic calculations behind the map are not performed for every single location on it; they are only performed in a grid of receivers. The results in this calculation grid are interpolated to draw the isolines or contours. Therefore, the resolution of the calculation grid and the way it was created (rectangular, triangulated, random…) have an effect on the resulting map.

In this paper we describe a smart iterative procedure to optimize the quality of the map at a really low additional computational cost, using self-adaptive grids for the acoustic calculations. These self-adaptive grids add new receivers to the sampling grid in those locations where they are expected to be more useful, so that the performance at the output of the interpolator is enhanced.

Self-adaptive sampling grids can be used for minimizing the overall error of the map (improving its quality), or for reducing calculation times, and can be also applied selectively to target areas or contour lines. This can be done by the user customizing the maximum number of iterations, the number of new receivers for each iteration, the target isolines, the target quality…

More information

Item ID: 12244
DC Identifier:
OAI Identifier:
DOI: 10.1016/j.apacoust.2010.12.007
Deposited by: Memoria Investigacion
Deposited on: 28 Aug 2012 08:57
Last Modified: 10 Jan 2017 09:32
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