Seven kinds of different vehicle models are used to calculate the space dynamic responses of the bridge on which a train moves at five different speeds. The frequencies and the modes of vibration of the VBS are also calculated when the train moves on the different position of the bridge.
The experiments are carried out at a bridge site and two buildings near railway tracks which are regarded as the point and line vibration sources. The measured results show that the vibration levels of the environmental ground and building floors increase with the train speed, while attenuating with the distance to the railway tracks;
It's the first time for Qinhuangdao-Shenyang special passenger line to design and install acoustic barrier on the subgrade passing through the nearby village,which is an important measure to drop the voise of train passing through and lower down the degree of disturbing the villagers.
After feature tagging they are used to train the maximum entropy model.
The other involved the adoption of multistep predictive cost energy to train the weights of the decoupling controller.
Using the method for calculating the transmission ratio of planet gear train, the relationship of the two oscillating angle between output axis and the bracket is established.
To find the motif features and the effect on siRNA activity, we carried out a feature extraction on some published experimental data and used these features to train a back-propagation neural network (BP NN).
Dynamic response of a long span suspension bridge and running safety of a train under wind action