MDO of Anti-Creeper on High Speed Train Using Optimus

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 130-134)
• Pages: 3128-3132
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.130-134.3128
• Online since: October 2011
• Authors: Kai Jie Liu, Hong Lun Zhao, Chao Xu
• Keywords: Multi-Objective Optimization (MOP), Optimus, Pareto Solution

References

[1] Nader Fateh and Sumeet Parashar: Game Theory Approach to Engine Performance Optimization. Design Optimization : Methods and Applications 2008, 13-20.

[2] Sumeet Parashar and Nader Fateh: Self Organizing Maps(SOM) for Design Selection in Multi-Objective Optimization Using Mode FRONTIER Design Optimization : Methods and Applications 2008, 39-46.

DOI: 10.4271/2008-01-0874

[3] zhou Ming, Sun Shudong: The principle and application of genetic algorithm. China National Defence Industry Press (2002).

[4] Lin Cuoyun, Dong Jiali: Multi-objective optimization method and theory[M]. Jilin Press of education, (2002).

[5] Wu Aihua, Li Zhiyong: Multi-objective optimization of Ant colony genetic algorithm. Computer Engineering. (2008).