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

• Published in: Quarterly Report of RTRI Vol. 62; no. 1; pp. 22 - 27
• Main Authors: AKIYAMA, Yuki, TAKIGAMI, Tadao, AIDA, Ken-ichiro
• Format: Journal Article
• Language: English
• 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
• DOI: 10.2219/rtriqr.62.1_22
• ISSN: 0033-9008

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.