Sound-insulation prediction model and multi-parameter optimisation design of the composite floor of a high-speed train based on machine learning-Reference-Cited by-同舟云学术

Sound-insulation prediction model and multi-parameter optimisation design of the composite floor of a high-speed train based on machine learning

Published:2023-10 Issue: Volume:200 Page:110631
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Wang Ruiqian,Yao Dan^ORCID,Zhang Jie^ORCID,Xiao Xinbiao,Jin Xuesong

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference22 articles.

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2. Effect of structure on sound absorption and sound transmission loss of composite sheet;Lee;Adv. Compos. Mater,2014

3. A modelling approach for noise transmission through extruded panels in railway vehicles;Li;J. Sound Vib.,2021

4. Combining the 2.5D FE-BE method and the TMM method to study the vibro-acoustics of acoustically treated rib-stiffened panels;Deng;J. Sound Vib.,2021

5. Application of a wavenumber domain numerical method to the prediction of the radiation efficiency and sound transmission of complex extruded panels;Kim;J. Sound Vib.,2019

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1. Control of large amplitude limit cycle of a multi-dimensional nonlinear dynamic system of a composite cantilever beam;Scientific Reports;2024-05-10

2. Application of Intelligent Algorithm Prediction Model Based on Particle Swarm Optimization on Power Load Forecast;2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE);2023-12-29

3. Identification of Key Factors Influencing Sound Insulation Performance of High-Speed Train Composite Floor Based on Machine Learning;Acoustics;2023-12-20