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Concurrent Patch Optimization of Hybrid Composite Plates Based on Proper Orthogonal Decomposition

机译:基于正确正交分解的混合复合板并发补丁优化

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摘要

Hybrid composite materials, which contain more than one type of reinforcing fiber, have been gaining ever-increasing popularity. They can keep superior mechanical properties while greatly reducing the material cost. To fully explore the load-carrying potential, it is crucial to develop a series of corresponding optimization methods for hybrid composites design. In this paper, the concurrent patch optimization of hybrid composite plates is investigated, where fiber orientation, the stacking sequence, and material topology are optimized simultaneously. Discrete material optimization (DMO) is performed to optimize the hybrid composite plates, with the buckling load as the objective and the material cost as the constraint. Because the effectiveness of DMO has been demonstrated to perform the discrete variable optimization of composite structures. Furthermore, an innovative DMO framework based on proper orthogonal decomposition is established to reduce the computational cost, with the aim being to improve the optimization efficiency by reducing the order of the corresponding finite element model, and thus the time needed for the finite element analysis. The effectiveness of the proposed method is demonstrated by means of an illustrative example wherein both the material cost and the time needed for the buckling analysis are reduced dramatically.
机译:包含不止一种增强纤维的混合复合材料越来越受欢迎。它们可以保持优异的机械性能,同时大大降低材料成本。为了充分挖掘承载潜力,为混合复合材料设计开发一系列相应的优化方法至关重要。本文研究了混合复合板的并行贴片优化,同时优化了纤维取向,堆叠顺序和材料拓扑。以屈曲载荷为目标,以材料成本为约束,进行离散材料优化(DMO)以优化混合复合板。由于已证明DMO的有效性,可以执行复合结构的离散变量优化。此外,建立了一种基于适当正交分解的创新DMO框架,以减少计算成本,其目的是通过减少相应有限元模型的阶次,从而减少有限元分析所需的时间来提高优化效率。通过一个示例性实例证明了所提出方法的有效性,其中材料成本和屈曲分析所需的时间都大大减少了。

著录项

  • 来源
    《AIAA Journal》 |2019年第11期|4915-4926|共12页
  • 作者单位

    Dalian Univ Technol Dept Engn Mech State Key Lab Struct Anal Ind Equipment Dalian 116023 Peoples R China;

    Beijing Aerosp Technol Inst Dept Engn Mech Beijing 100072 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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