Sound-Insulation Prediction for High-Speed Train Walls Based on Neural Network Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7852-6_54
Reference10 articles.
1. He B, Xiao XB, Zhou Q et al (2014) Investigation into external noise of a high-speed train at different speeds. J Zhejiang Univ Sci A (Appl Phys Eng) 15(12):1019–1033
2. Sheng X, Cheng G, Thompson D (2020) Modelling wheel/rail rolling noise for a high-speed train running along an infinitely long periodic slab track. J Acoust Soc America 148(1):174
3. Yao D, Zhang J, Wang RQ, Xiao XB, Guo JQ (2019) Lightweight design and sound insulation characteristic optimisation of railway floating floor structures. Appl Acoust 156:66–77
4. Zhang J, Yao D, Wang R, Xiao X (2021) Vibro-acoustic modelling of high-speed train composite floor and contribution analysis of its constituent materials. Compos Struct 256:113049
5. Zhang Y, Thompson D, Squicciarini G, Ryue J, Xiao X, Wen Z (2018) Sound transmission loss properties of truss core extruded panels. Appl Acoust 131:134–153
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