Print Email Facebook Twitter Assessing noise level variability in fly-over data Title Assessing noise level variability in fly-over data Author Vander Eyken, S. Contributor Snellen, M. (mentor) Faculty Aerospace Engineering Department Control & Operations Programme Aircraft Noise and Climate Effects (ANCE) Date 2016-06-21 Abstract As the air travel industry steadily grows, so does the noise pollution that comes with it. This brings with it a myriad of socio-economic consequences, especially in the vicinity of airports. In order to combat this aircraft noise at its origin, it is important to know where it originates from and determine the prevalent sound sources on an aircraft and their contribution to the noise. The goal of this research is to determine the different aircraft noise sources in fly-over data collected by a microphone array during landing. In addition to locating the prevalent noise sources, also the variability is assessed. Subsequently it is investigated to what extent the engine settings and aircraft velocity affect the sound levels of the noise produced by these sources. The data used to accomplish this goal was collected from 115 fly-overs at Schiphol Airport on two separate measurement days, using an acoustic array with 32 microphones that was developed at the faculty of Aerospace Engineering. Of these measurements, 43 Boeing 737 “Next Generation” fly-over measurements were selected for analysis. Using beamforming, the locations of different sound sources and their corresponding sound pressure levels were determined. After defining different sound signals from the fly-over data, using conventional delay-and-sum beamforming on these signals, various noise sources at the engines and a noise source at the wings were located. The correlation of these noise sources sound pressure level with the engine setting and velocity was also investigated. This helped to further determine the origin of the noise. Subject aircraft noisebeamformingnoise variability To reference this document use: http://resolver.tudelft.nl/uuid:62b081a4-f3c6-42d2-b3be-ab82563778db Part of collection Student theses Document type master thesis Rights (c)2016 Vander Eyken, S. Files PDF Thesis_SanderVanderEyken.pdf 9.12 MB Close viewer /islandora/object/uuid:62b081a4-f3c6-42d2-b3be-ab82563778db/datastream/OBJ/view