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Optimization Design System for Composite Structures Based on Grid Technology

机译：基于网格技术的复合结构优化设计系统

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摘要

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.
机译：为解决飞机结构设计中复杂的多目标连续/离散设计变量的拓扑优化问题，提出了一种基于网格平台的并行帕累托遗传算法（PPGA）。在该算法中，集成了商业有限元分析软件（FEA）作为分析目标函数的计算工具，并引入了基于权重信息的Pareto解集的过滤器来处理所有目标之间的关系。 PPGA中使用网格技术来实现分布式计算，并开发了用户界面以本地/远程实现作业提交和作业管理。以复合材料机翼的气动弹性裁剪优化为例，为决策者提供了一组帕累托解决方案。数值结果表明，通过在该系统中增加有限的蒙皮重量，可以解决副翼逆转问题。该算法可用于解决工程中复合结构的复杂拓扑优化问题，利用聚集大量空闲资源的网格平台可以大大提高计算效率。

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