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Neural Computing and Applications
Published in: Neural Computing and Applications 5/2018

29-12-2016 | Neural Computing in Next Generation Virtual Reality Technology

Research on the virtual reality of vibration characteristics in vehicle cabin based on neural networks

Authors: Jinshuan Peng, Lei Xu, Yiming Shao

Published in: Neural Computing and Applications | Issue 5/2018

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Abstract

A finite element model of commercial vehicles was firstly built in the paper to study the virtual reality of vibration characteristics, and the top 6-order modal was then computed and compared with the experimental results to verify the reliability of the computational model. Then, a neural network model of the cabin was built. Through road tests, the excitation signal at the cabin suspension point and the response signal of interior vibration noise were measured under the idle condition and constant speed condition. The measured excitation signal was applied to the prediction model for frequency response analysis, in order to compute the interior noise within the range 20–200 Hz. The obtained simulation result of the vibration noise was compared with the experimental result and analyzed. As indicated from the analysis, the influence of excitation spectrum and the model can be reflected by the simulation response spectrum, which is consistent with the experimental result. The higher precision can be also obtained when the model is applied to predict the interior noise.
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Metadata
Title
Research on the virtual reality of vibration characteristics in vehicle cabin based on neural networks
Authors
Jinshuan Peng
Lei Xu
Yiming Shao
Publication date
29-12-2016
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 5/2018
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2829-z

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