Observatorio de I+D+i UPM

Memorias de investigación
Thesis:
ESTUDIO DE LA VALIDACIÓN, ERRORES E INCERTRIDUMBRE EN LA ELABORACIÓN DE MAPAS DE RUIDO
Year:2009
Research Areas
  • Mechanical engineering
Information
Abstract
Noise mapping is a complex process requiring a large amount of data from different sources, which are not always available. In the process, there are many factors involving simplifications, approaches and deviations that contribute to the final uncertainty of the result. An error in the final result of the noise map causes an incorrect amount of exposed population, as well as the design and implementation of inadequate or wrong noise action plans. The uncertainty analysis in the creation of noise maps is therefore a key to use its results as a tool to design noise action plans. However, up to now, there are only guides giving an approximate range of possible contribution to the uncertainty depending on the quality of input data. The present doctoral thesis analyses the contributions to the total uncertainty of a noise map, proposing a methodology to quantify it. Firstly, a review of the state of the art is performed, studying different aspects contributing to the system uncertainty: calculation standard, acoustic calculation engine, situational acoustic model and acoustic measurements. After analyzing the sources that contribute to the overall system uncertainty, a method to quantify the expanded uncertainty properly is proposed, from an analytical calculation and experimental determination. Thus, a specific value of the uncertainty of a map can be calculated avoiding approximations and range values. In order to apply the proposed method, three different noise mapping cases are discussed and their implemented methodologies are studied. In the first case, the qualities of the input data to create the acoustic model and the model validation by experimental measurements are discussed. Then, a calculation of the expanded uncertainty of the whole mapping is performed, comparing the obtained result with the approximated range values specified so far. Thus, the affect of default input values to the model and the application of European calculation methods in non-European countries are checked. The second case, a mixed methodology through measurements and simulation is discussed. Additionally, rail noise prediction method recommended by the European Union is evaluated. The third study case, describes the entire process of data collection and using default data that leads to a map with a high deviation, therefore, it is not a validated map. Consequently, the quality of the input data improvement process is described, quantifying the uncertainty reduction compared to the initial data. That analysis is done before and after the calibration process. KEYWORDS: NOISE MAPPING; UNCERTAINTY; VALIDATION; CALIBRATION; SIMULATION; MEASUREMENTS.
International
Si
Type
Doctoral
Mark Rating
Sobresaliente cum laude
Date
10/12/2009
Participants
  • AUTOR: MIGUEL AUSEJO PRIETO (UPM)
  • Director: Manuel Recuero Lopez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Investigación en Instrumentación y Acústica Aplicada (I2A2)
  • Centro o Instituto I+D+i: Centro de Acústica Aplicada y Evaluación No Destructiva (CAEND). Centro Mixto UPM-CSIC
  • Departamento: Ingeniería Mecánica y de Fabricación
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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