Analysis of Track Support Structure of Mountain Double-Track Transport Vehicle Based on Neural Network Response Surface Model

In the transportation of heavy materials in mountainous areas, there are problems such as low operation efficiency, high labor intensity, and serious environmental damage. Mountain double-track transport vehicles can effectively solve the above problems. The support scheme of the track is the key and difficult point of the design. This paper uses the ANSYS Workbench 19.0 tool to analyze the strength of the track support structure of the double-track transport vehicle, and conducts statics simulations for the three support structures simultaneously. The maximum deformation of the support structure is regarded as the goal, the Neural Network response surface model is used to optimize the design of the parameters of the three support structures. The results show that the stress of the diagonal bracing structure scheme is optimal; within the allowable range of the structural design, the height of the connection point of the diagonal bracing can be increased as much as possible to increase the structural stability.