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

2014 ◽  
Vol 597 ◽  
pp. 535-539
Author(s):  
Yi Qing Wang ◽  
Xu Chen ◽  
Bin Wang ◽  
Xin Bin Kuang ◽  
Xiao Geng Tian

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.

2011 ◽  
Vol 130-134 ◽  
pp. 3128-3132
Author(s):  
Kai Jie Liu ◽  
Hong Lun Zhao ◽  
Chao Xu

How to find the solution of multi-objective optimization quickly and exactly is the challenge of multi-objective optimization design. This paper explores the feasibility of multi-objective optimization solution briefly in theory, and makes a high-speed train’s anti-creeper as an example which using multi-objective design optimization software to find the feasible solution. Nastran and LS-Dyna are respectively adopted to solve the linear static and collision study analysis of the anti-creeper. In this paper Nastran and LS-Dyna are integrated on Optimus which is MDO platform to make a MDO of anti-creeper. The anti-creeper optimization analysis is proceeded based on many indexes satisfied, and its multi-objective Pareto solution of its minimum mass and biggest internal energy comes out. The method of multi-objective optimization solution in this paper is solved well in MDO.


2017 ◽  
Vol 18 (11) ◽  
pp. 841-854 ◽  
Author(s):  
Liang Zhang ◽  
Ji-ye Zhang ◽  
Tian Li ◽  
Ya-dong Zhang

Author(s):  
Feng-Zhe Cui ◽  
Chong-Quan Zhong ◽  
Xiu-Kun Wang ◽  
Hong-Fei Teng

The collaborative design of the multi-module satellite component (equipment) assignment and layout is the key aspect of the overall satellite design, and the two parts are closely related. In the past, satellite module component layout optimization usually adopted fixed component assignments, which remained constant in the layout optimization stage. If the components were improperly distributed in these modules, it would seriously affect the layout optimization. To overcome this disadvantage, a collaborative design method for the component assignment and layout design is presented for the multi-module (or multi-bearing plate) satellite component layout problem, based on a multi-agent system. First, the component assignment agent adopted a multi-objective optimization method (the non-dominated sorting genetic algorithm II, NSGA-II) to obtain the approximate Pareto solution set of the satellite component assignment scheme. Second, it adopted a fuzzy multi-objective decision method to select a high-quality component assignment scheme from the approximate Pareto solution set. Third, the layout agent employed a dual system co-evolutionary method for the layout optimization design. In the process of the layout optimization, the layout result is fed back to the component assignment design, and the component assignment is adjusted according to the result of the layout optimization. Thus, the above process is continually iterated to achieve the optimal collaborative design of the component assignment and the layout. The proposed method is applied to a simplified multi-module satellite component assignment and layout optimization problem and aims to provide a reference and technical support for other similar multi-module equipment assignment and layout optimization problems.


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