Abstract
Sound-absorbing boundaries can attenuate noise propagation in practical long spaces, but fast and accurate sound field modeling in this situation is still difficult. This paper presents a coherent image source model for simple yet accurate prediction of the sound field in long enclosures with a sound absorbing ceiling. In the proposed model, the reflections on the absorbent boundary are separated from those on reflective ones during evaluating reflection coefficients. The model is compared with the classic wave theory, an existing coherent image source model and a scale-model experiment. The results show that the proposed model provides remarkable accuracy advantage over the existing models yet is fast for sound prediction in long spaces.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province, China
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Cited by
3 articles.
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1. Noise Reduction and Sound Intelligibility Improvement in Acoustic Environment in Long Traffic Tunnels with Wall Absorption;Proceedings of the 9th International Conference on Energy Engineering and Environmental Engineering;2023
2. Numerical Study on Acoustic Environment in Long Traffic Tunnels;Proceedings of the 9th International Conference on Energy Engineering and Environmental Engineering;2023
3. Special Issue: Advances in Architectural Acoustics;Applied Sciences;2022-02-08