Self-adaptive grids for noise mapping refinement

Asensio Rivera, César; Recuero López, Manuel; Ruiz González, Mariano; Ausejo Prieto, Miguel y Pavón García, Ignacio (2011). Self-adaptive grids for noise mapping refinement. "Applied Acoustics", v. 72 (n. 8); pp. 599-610. ISSN 0003-682X. https://doi.org/10.1016/j.apacoust.2010.12.007.

Descripción

Título: Self-adaptive grids for noise mapping refinement
Autor/es:
  • Asensio Rivera, César
  • Recuero López, Manuel
  • Ruiz González, Mariano
  • Ausejo Prieto, Miguel
  • Pavón García, Ignacio
Tipo de Documento: Artículo
Título de Revista/Publicación: Applied Acoustics
Fecha: Julio 2011
Volumen: 72
Materias:
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería Mecánica y de Fabricación [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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…

Más información

ID de Registro: 12244
Identificador DC: http://oa.upm.es/12244/
Identificador OAI: oai:oa.upm.es:12244
Identificador DOI: 10.1016/j.apacoust.2010.12.007
Depositado por: Memoria Investigacion
Depositado el: 28 Ago 2012 08:57
Ultima Modificación: 10 Ene 2017 09:32
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