正弦波加振を受ける連結車両のモデル低次元化手法の検討

抄録

In this paper, we study method of model reduction of connected vehicle. A car model consists of 1 body, 2 trucks, 4 wheel sets, and has 21 degrees of freedom. The connected vehicle model is made up of 10 cars and has 210 degrees of freedom in total. It is considered 21 cases of input waves (7 patterns of sinusoidal waves whose frequencies are 1.0, 1.5, 2.0, 2.5, 3.0, 4.0, 5.0Hz and 3 directions of excitation: East-West, Up-Down, North-South), and 60 modes are chosen by sparse estimation in each case. Then, in order to reveal which modes do/do not depend on input waves, we suggested ‘multiplicity’ of modes as an evaluation index of that. If the index is high, it is seen that the selected modes do not depend on input waves because the modes are chosen in many cases, and if the index is low, it is seen that these modes depend on them. As a result, about a half of 60 modes were chosen in all cases of input waves (multiplicity: 7). Moreover, we made the common reduced-order-models by using 28, 38, 45 modes whose multiplicities are high (5-7), and these models were able to reproduce the response behavior of the connected vehicles.