Optimization Design System for Composite Structures Based on Grid Technology
To solve the topology optimization of complicated multi-objective continuous/discrete design variables in aircraft structure design, a Parallel Pareto Genetic Algorithm (PPGA) is presented based on grid platform in this paper. In the algorithm, the commercial finite element analysis (FEA) software is integrated as the calculating tool for analyzing the objective functions and the filter of Pareto solution set based on weight information is introduced to deal with the relationships among all objectives. Grid technology is utilized in PPGA to realize the distributed computations and the user interface is developed to realize the job submission and job management locally/remotely. Taking the aero-elastic tailoring of a composite wing for optimization as an example, a set of Pareto solutions are obtained for the decision-maker. The numerical results show that the aileron reversal problem can be solved by adding the limited skin weight in this system. The algorithm can be used to solve complicated topology optimization for composite structures in engineering and the computation efficiency can be improved greatly by using the grid platform that aggregates numerous idle resources.
作 者： CHENG Wen-yuan CHANG Yan CUI De-gang XIE Xiang-hui 作者单位： CHENG Wen-yuan,CUI De-gang(School of Aeronautic Science and Technology, Beijing University of Aeronautics and Aeronautics, Beijing 100083, China)CHANG Yan,XIE Xiang-hui(Jiangnan Institute of Computing Technology, Wuxi 214083, China)
刊 名： 中国航空学报（英文版） ISTIC 英文刊名： CHINESE JOURNAL OF AERONAUTICS 年，卷(期)： 2007 20(1) 分类号： V2 关键词： multi-objective optimization omposite material grid technology enetic algorithm