Abstract
Acoustic environment in long traffic tunnels with low absorption performance shows high level noise and low speech intelligibility. In this paper, a numerical study is conducted to investigate noise reduction and speech intelligibility improvement by wall absorption in a long traffic tunnel. The basis geometry model of the tunnel was first built and parameter settings in numerical modeling were carried out for numerical simulations. Comparisons on speech intelligibility (rapid speech transmission index, RASTI) and reverberation time (RT) among the tunnels with different wall absorption performance were then conducted. Numerical results demonstrate the significant effects of absorption on reverberation time reduction and speech intelligibility improvement in the long traffic tunnel, and a more uniform sound field can also be obtained by wall absorption. The calculated average RT decreases from 3.0 s approximately in the case with the low wall absorption (noise reduction coefficient (NRC) = 0.07) to 1.3 s in the case with high wall absorption (NRC = 0.70), while the average RASTI increases from 0.44 on the condition with low wall absorption to 0.54 in the high wall absorption.
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Zhao, Y., Chen, J., Wang, S., Lou, H., Min, H. (2023). Noise Reduction and Sound Intelligibility Improvement in Acoustic Environment in Long Traffic Tunnels with Wall Absorption. In: Sun, Z., Das, P. (eds) Proceedings of the 9th International Conference on Energy Engineering and Environmental Engineering. ICEEEE 2022. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-30233-6_18
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DOI: https://doi.org/10.1007/978-3-031-30233-6_18
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