A scale model approach to simulate aircraft noise in street canyons

A comparison between in-situ and laboratory measurements

Conference Paper (2023)
Author(s)

Martijn Lugten (Amsterdam Institute for Advanced Metropolitan Solutions (AMS), TU Delft - Environmental & Climate Design)

Gustaf Wuite (TU Delft - Environmental & Climate Design, Amsterdam Institute for Advanced Metropolitan Solutions (AMS))

Zhikai Peng (Amsterdam Institute for Advanced Metropolitan Solutions (AMS), TU Delft - Environmental & Climate Design)

Kyujin Kim (Student TU Delft)

MJ Tenpierik (TU Delft - Environmental & Climate Design)

Research Group
Environmental & Climate Design
DOI related publication
https://doi.org/10.61782/fa.2023.0264
More Info
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Publication Year
2023
Language
English
Research Group
Environmental & Climate Design
ISBN (electronic)
978-88-88942-67-4
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Abstract

Aircraft noise is a major source of noise pollution in areas close to airports. Previous studies showed that the design of the urban and architectural context affects local sound levels. Due to surface reflections and edge diffraction, sound levels are reduced or amplified, depending on building geometry and surface materials. Compared to other traffic sources in cities, aircraft noise is currently neither integrated in sound prediction models, nor validated for such purposes. To validate the results from previous computational studies, a full scale experiment was set up. In the experiment, sound and weather data is collected which is used to identify the influence of building geometry and cladding on the propagation of aircraft noise. A subset of the measurements collected on days without wind was used to validate a method for measurements with scale models in an an-echoic room. Based on a series of discrete mono-pole source positions, three flight paths were simulated. Measurements in the an-echoic room were compared with the measurements in the full-scale field lab. This paper presents the results of the experiment and sets out a method for scale model experiments focusing on the prediction of sound in urban canyons for overhead sound sources.