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Global Optimization of Wing Aerodynamic Optimization Case Exhibiting Multimodality

机译:展示多模态的机翼气动优化案例的全局优化

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摘要

An investigation into an aerodynamic optimization benchmark case that exhibits multimodality is presented using a global optimization approach. The recently suggested case 6 of the AIAA Aerodynamic Design Optimization Discussion Group involves the drag minimization of a rectangular NACA0012 wing subject to lift and the root bending moment, as well as other geometric constraints. In this paper, optimization of that case using a state-of-the-art constrained population-based global optimization framework is presented. Shape control is achieved via a hierarchical application of the radial basis function domain element approach. Three different fidelities of optimization cases are performed to investigate the multimodality of various aspects of the full problem, with four independent runs of each case being performed. When considering chord optimization, the optimizer converges to two independently identifiable minima with very similar performances. When adding dihedral and sweep variation, further multimodality is introduced, although this multimodality is reasonably well defined, with minima including forward and rearward sweeps, and an upward and a downward winglet. Introducing thickness variables leads to a highly multimodal problem due to the coupling between the chord and thickness variables. The theoretical minimum drag for this case is 24.7 counts, which a number of the runs gets close to achieving.
机译:使用全局优化方法,对展示多模式的空气动力学优化基准案例进行了研究。 AIAA空气动力学设计优化讨论组最近提出的案例6涉及矩形NACA0012机翼受升力和根部弯矩以及其他几何约束的阻力最小化。在本文中,提出了使用最先进的基于人口约束的全局优化框架对该情况进行的优化。形状控制是通过径向基函数域元素方法的分层应用来实现的。执行了三种不同的优化案例保真度,以研究整个问题各个方面的多模态,每个案例进行四次独立运行。在考虑和弦优化时,优化器会收敛到两个具有非常相似性能的独立可识别最小值。当添加二面角和后掠变化时,会引入更多的多峰模式,尽管该多峰模式定义得相当好,其最小值包括向前和向后的后掠以及向上和向下的小翼。由于弦和厚度变量之间的耦合,引入厚度变量会导致高度多峰问题。在这种情况下,理论上的最小阻力为24.7个计数,许多运行都接近实现。

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