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Large-Scale Compliance-Minimization and Buckling Topology Optimization of the Undeformed Common Research Model Wing

机译:未变形的通用研究模型机翼的大规模合规性最小化和屈曲拓扑优化

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Next-generation additive manufacturing technologies will enable novel, low-weight, high-performance aircraft structures. Topology optimization techniques can be used to obtain unconventional internal aircraft wing structures that can be manufactured using additive methods which depart significantly from conventional rib-spar wing constructions. However, there are significant issues that must be overcome when applying traditional topology optimization techniques to the design of aerospace structures. These challenges include efficiently solving large-scale design problems, and applying buckling criteria within a topology optimization design formulation. In this paper, we seek to address these issues by applying a scalable topology optimization method to the undeformed Common Research Model (uCRM) wing with buckling constraints applied to the skins of the wing-box. The proposed approach uses a multigrid-preconditioned Krylov method to solve the large-scale finite element analysis problem, coupled with a parallel interior-point optimizer to solve the large-scale constrained design optimization problem. This proposed method is applied to two different optimization problems: mass-constrained compliance minimization, and mass-constrained buckling-load maximization. In addition, we apply a segment-wise topology optimization design strategy to the uCRM wingbox.
机译:下一代增材制造技术将使新型,轻便,高性能的飞机结构成为可能。拓扑优化技术可用于获得非常规的飞机内部机翼结构,该结构可以使用与传统的肋骨-翼型机翼结构明显不同的添加方法来制造。但是,在将传统的拓扑优化技术应用于航空航天结构设计时,必须解决许多重要问题。这些挑战包括有效解决大规模设计问题,以及在拓扑优化设计公式中应用屈曲准则。在本文中,我们试图通过将可扩展的拓扑优化方法应用于未变形的通用研究模型(uCRM)机翼来解决这些问题,并在机翼箱的蒙皮上施加屈曲约束。所提出的方法使用多网格预处理的Krylov方法来解决大规模有限元分析问题,并使用并行内点优化器来解决大规模的受限设计优化问题。该方法适用于两个不同的优化问题:质量约束的依从性最小化和质量约束的屈曲载荷最大化。此外,我们将分段分段拓扑优化设计策略应用于uCRM翼盒。

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