Multi-Objective Optimization for the Section Structure of Sandwich Plate Applied in the High-Speed Train Compartments

Abstract:

In order to obtain the side walls section structures of high speed train applicable to different running speeds and conditions, a multi-objective optimization design is made based on the structure of topology optimization. In this optimization formulation, the weight of sandwich plate, static compliance and maximum deformation are used as the objective functions; the thickness of face panels and cores in five parts of the side wall are variables; and the air pressure gradient in compartments is the constraint function. Surrogate model techniques are adopted for constructing the response surfaces based on the optimization. Finally, a multi-objective optimization is performed using the NSGA-II algorithm and the optimization generates a Pareto solution set. The structure performance in Pareto set is greatly improved by 8.21% -33.58% than that of topology structure. In addition, the Pareto solution set provides engineers with many alternative Pareto-optimal solutions for optimization design of the sandwich plate section applied in the high-speed train.

• Periodical: Applied Mechanics and Materials (Volume 597)
• Pages: 535-539
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.597.535
• Online since: July 2014
• Authors: Yi Qing Wang*, Xu Chen, Bin Wang, Xin Bin Kuang, Xiao Geng Tian
• Keywords: Multi-Objective Optimization (MOP), NSGA-ΙΙ Algorithm, Pareto Optimal Solution Set, Sandwich Plate, Surrogate Model

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