Parameter Determination Method of Three-dimensional Analytical Models for Elastic Vibration of Railway Vehicle Carbodies

Reducing elastic vibration of railway vehicle carbodies is required to improve ride comfort. A high-accuracy numerical analysis model is required to study effective vibration reduction methods. This paper describes a new numerical analysis model, and a method for determining parameters for the propo...

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Bibliographic Details
Published inQuarterly Report of RTRI Vol. 62; no. 1; pp. 22 - 27
Main Authors AKIYAMA, Yuki, TAKIGAMI, Tadao, AIDA, Ken-ichiro
Format Journal Article
LanguageEnglish
Published Tokyo Railway Technical Research Institute 01.02.2021
Japan Science and Technology Agency
Subjects
analytical model
carbody
elastic vibration
Model accuracy
Numerical analysis
parameter determination
Parameters
Particle swarm optimization
Passenger comfort
Resonant frequencies
Test vehicles
Three dimensional analysis
Three dimensional models
Vibration analysis
Vibration control
Vibration measurement
Vibration mode
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Summary:Reducing elastic vibration of railway vehicle carbodies is required to improve ride comfort. A high-accuracy numerical analysis model is required to study effective vibration reduction methods. This paper describes a new numerical analysis model, and a method for determining parameters for the proposed model by using particle swarm optimization. After the application of the proposed method to a Shinkansen-type test vehicle, the authors created an analytical model with a maximum natural frequency difference between measured and calculated results of the targeted six elastic vibration modes within 0.86%, which indicates the effectiveness of the proposed model and parameter determination method.
ISSN:0033-9008
1880-1765
DOI:10.2219/rtriqr.62.1_22