According to the problem that train operation process costs much more energy in rail transit. Multi-objective optimization model is formulated on multiple objective optimization methods. The model aims to energy-efficient, punctuality and stopping at adequate position. In order to solve the basic PSO relapsing into local extremum and slow convergence in the late evolutionary, a method is put forward to improve the acceleration coefficient of PSO. Experiments result shows that the modified algorithm can get a more accurate global optimal value.
A new instantaneous stochastic optimal control (ISO) for the linear building structures subjected to non-stationary random excitations is proposed. A plane shear structure is taken as the example to illustrate the proposed method. The main advantage of the method is that the control force is easy to be calculated because the expression of the control force is independent of the state of the system.
B4C, Si, Al, and γ-Al2O3 were used as raw materials, formed β-Sialon and SiC in situ by solid-state reaction for preparation of B4C composite powder. β-Sialon and SiC grains are uniformly and dispersedly distributed in the composite powder. The effects of the molar ratio of raw materials, nitridation temperature and soaking time for the phase composition, and microstructure of the composite powder were studied. When the molar ratio of B4C and Si is 2: 3, the composite powder with columnar β-Sialon grains growing alternately can be prepared after nitridation at 1500°C for 4 h. The liquid phase formed by the melting of Si at high temperature promoted the dissolution of B4C and the formation of SiC. When the nitridation temperature was increased or the soaking time was prolonged, the gas phase volatilization of Si and Al was intensified, SiC and AlN whiskers tend to be formed in the composite powder.
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