実走行データを用いた鉄道車両の車体3次元弾性振動解析モデルのパラメータ推定

抄録

Recent light-weighted and structurally-simplified railway vehicle carbodies tend to have the various vertical flexural vibration which causes lowering of the ride comfort. To study techniques for reducing these vibrations, simple numerical analysis models are required. The authors proposed a simple analytical model that can express several flexural vibration modes of a carbody. Along with the modeling technique, determining parameters used in the analysis models (called “model parameters” in this work) is also important. This paper proposes a method to estimate model parameters using particle swarm optimization (PSO) together with running test results. To confirm the validity, eigenvalue analysis and running simulation were performed using the analysis model with the parameters estimated by the proposed method. As the result, the calculated natural frequencies are in good agreement with the measured ones. In addition, within the range of frequencies which present natural frequency of the important vibration mode, good agreement between the calculated acceleration power spectral densities (PSDs) and the measured ones were observed at the measurement points of the centerline of the carbody.