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A ray model for hard parallel noise barriers in high-rise cities
Kai Ming Li1, Man Pun Kwok, Ming Kan Law
1Ray W. Herrick Laboratories, School of Mechanical Engineering, Purdue University, 140 South Intramural Drive, West Lafayette, Indiana 47907-2031, USA. mmkmli@purdue.edu
A new ray model accurately predicts noise barrier insertion loss in urban settings. The model accounts for sound diffraction and multiple reflections, validated by wave-based methods and experiments.
Area of Science:
- Acoustics
- Urban planning
- Environmental engineering
Background:
- Noise barriers are essential for mitigating urban noise pollution.
- Accurate prediction of noise barrier performance in complex urban environments is challenging.
- Existing models may not fully capture acoustic phenomena like diffraction and reflections in street canyons.
Purpose of the Study:
- To develop and validate a ray model for predicting the insertion loss of hard parallel noise barriers.
- To investigate the impact of geometrical acoustics, including diffraction and multiple reflections, on sound pressure levels.
- To assess the model's accuracy against wave-based formulations and experimental data.
Main Methods:
- Development of a ray model based on geometrical acoustics.
- Incorporation of sound diffraction at barrier edges.
- Inclusion of multiple reflections from ground, barrier, and façade surfaces.
- Validation against a wave-based boundary element method.
- Comparison with scale model experimental studies.
Main Results:
- The developed ray model provides predictions for noise barrier insertion loss.
- The model effectively incorporates diffraction and multiple reflection effects, crucial for receivers near barriers.
- Good agreement was observed between the ray model and the boundary element formulation across a wide frequency range.
- Tolerable agreement was demonstrated between the ray model and scale model experimental data.
Conclusions:
- The ray model is a viable tool for predicting noise barrier insertion loss in urban environments.
- The inclusion of diffraction and multiple reflections is critical for accurate sound level predictions.
- The model shows good potential for application in urban noise barrier design and assessment.
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