Improving the accuracy of engineering models at shielded building facades: experimental analysis of turbulence scattering
Paper in proceedings, 2013

Noise mapping models are able to accurately predict directly exposed facade levels near busy roads on condition that sufficiently detailed traffic data is available. At the non-directly exposed side of the building, however, common practice application of standard methods strongly underpredicts sound pressure levels, potentially leading to an incorrect assessment of noise annoyance and sleep disturbance. The concept of background noise mapping was proposed before, which has the important advantage that it can increase the accuracy of existing noise maps at a limited computational cost. In this study, long-term meteorological and noise data showed that turbulence scattering contributes significantly to the noise level at shielded facades, already at sound frequencies below 1 kHz. Periods with strong atmospheric turbulence are dominant for long-term equivalent noise levels as typically used in strategic noise maps. A comparison between predictions and measurements show that rather high turbulence strengths should be used when producing noise maps.

Urban sound propagation

Quiet sides

Atmospheric turbulence

Author

Timothy Van Renterghem

Ghent university

Weigang Wei

Ghent university

Jens Forssén

Chalmers, Civil and Environmental Engineering, Applied Acoustics, Vibroacoustics

Maarten Hornikx

Chalmers, Civil and Environmental Engineering, Applied Acoustics

Technische Universiteit Eindhoven

Mikael Ögren

The Swedish National Road and Transport Research Institute (VTI)

Dick Botteldooren

Ghent university

Erik Salomons

Netherlands Organisation for Applied Scientific Research (TNO)

42nd International Congress and Exposition on Noise Control Engineering 2013: Noise Control for Quality of Life, INTER-NOISE 2013; Innsbruck; Austria; 15 September 2013 through 18 September 2013

5-

Areas of Advance

Transport

Building Futures (2010-2018)

Subject Categories

Other Civil Engineering

ISBN

978-163266267-5

More information

Latest update

12/27/2018