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A New Topology Optimization Method for Simultaneous Design of Component Layout and Frame Structure of Aircraft Wing

机译:同时设计飞机机翼组件布局和框架结构的拓扑优化新方法

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This paper proposes a new system level topology optimization method based on the global search algorithm and morphing mesh technique in order to determine the optimal layout of components as well as the frame structure in the aircraft wing system. In this method, two types of design variables-morphing design variables (x_s) and topology design variables (x_t)-are defined for simultaneous design optimization of the component relocation and frame structure topology. In the first step of the proposed methodology, the genetic algorithm is used for global search on component locations considering multiple system-level performances such as aerodynamic stability (weight balance), structural safety, and proximity. Handling multiobjectives, multiple solutions can be obtained in this step. Then, in the second step, a morphing FE mesh with a sensitivity-based algorithm is used to determine the optimal topology of supporting frame structure. In this step, the component locations can be readjusted using FE Morphing approach implemented by HyperMesh, and the frame structure is found for compliance minimization using the SIMP method. This design strategy is applied to the commercial Boeing 757 aircraft wing. The wing design is intended to obtain effective packaging of multiple components while satisfying load-carrying performance and minimizing weight for energy efficiency. It is verified that the involvement of global search step expands the design space by increasing the degree of freedom to locate the components and increases the possibility of obtaining enhanced compliance. Also, topology optimization by morphing mesh improves compliance performance by 19~32%.
机译:本文提出了一种基于全局搜索算法和变形网格技术的系统级拓扑优化新方法,以确定机翼系统中组件的最佳布局以及框架结构。在此方法中,定义了两种类型的设计变量-变形设计变量(x_s)和拓扑设计变量(x_t)-用于组件重定位和框架结构拓扑的同时设计优化。在拟议方法的第一步中,考虑多种系统级性能(例如空气动力学稳定性(重量平衡),结构安全性和邻近性),将遗传算法用于组件位置的全局搜索。处理多目标,可以在此步骤中获得多个解决方案。然后,在第二步中,使用基于灵敏度的算法的变形FE网格来确定支撑框架结构的最佳拓扑。在此步骤中,可以使用HyperMesh实施的FE Morphing方法重新调整组件位置,并使用SIMP方法找到用于最小化合规性的帧结构。这种设计策略适用于商业波音757飞机机翼。机翼设计旨在获得有效的多组件包装,同时满足载重性能并最小化重量以提高能效。可以证明,全局搜索步骤的参与通过增加定位组件的自由度扩展了设计空间,并增加了获得增强合规性的可能性。此外,通过变形网格优化拓扑可将依从性提高19%到32%。

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