Optimization Design System for Composite Structures Based on Grid Technology

作     者：CHENG Wen-yuan CHANG Yan CUI De-gang XIE Xiang-hui 

作者机构：School of Aeronautic Science and Technology Beijing University of Aeronautics andAeronautics Beoing 100083 China Jiangnan Institute of Computing Technology Wuxi 214083China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2007年第20卷第1期

页      码：55-59页

摘      要：To solve the topology optimization of complicated multi-objective continuous/discrete design variables in aircmit 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.

主 题 词：multi-objective optimization omposite material: grid technology, enetic algorithm 

学科分类：08[工学] 0825[工学-环境科学与工程类] 

核心收录：

D　O　I：10.1016/S1000-9361(07)60007-7

馆 藏 号：203947737...