At present, the work of China Railway track replacement reaches thousands of kilometers each year, however, the traditional railway track replacement way has been unable to meet the changing track needs. In order to adapt to the present stage of railway lines in the requirements of mechanization, the Southwest Jiaotong University developed a new type of hydraulic telescopic rail car. In this paper, Southwest Jiaotong University is based on the fully hydraulic telescopic change rail car. The new rail car’s major technical indicators were also introduced. And its track replacement work process was analyzed. The rail car steel structure optimization analysis was based on this basis.According to the characteristics of particle swarm algorithm, we used the acceleration factor and the inertia weight and combined with chaos algorithm to constitute CPSO, which is fast convergence and effective to avoid falling into local optimal solution.to improve the PSO algorithm. Using MATLAB software, we wrote a Chaos Particle Swarm Optimization program.The full hydraulic telescopic rail car change track work of typical working condition was summarized, and its’ telescopic boom theoretical model was established to find the dangerous section telescopic boom and analyzed the strength, stiffness, local stability and overall stability of the new-for-railcar telescopic arm. New change railcar telescopic sectional optimize with CPSO. Optimized telescopic analysis confirmed the reliability of the results optimization with ANSYS finite element analysis software. At the same time, we could get the New change rail cars track replacement work of the most dangerous working conditions and the position of maximum stress.Telescopic change causes a change in the quality of a new railcar whole centroid change, which needs to analysis the machine stability. Refer to "Design Manual lifting" for new railcars change, the overall stability against overturning, rear stability analysis, and as a constraint, with change the whole railcar centroid position of the objective function, using CPSO new exchange of important parts of the rail car location distribution optimization. |