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Constrained parallel global optimization for boundary layer transition control

机译:边界层转换控制的受限并行全局优化

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Turbulent flow has a significantly higher drag than the corresponding laminar flow at the same flow conditions, and therefore incurs a significant penalty of increased fuel consumption due to the extra thrust required. One possible way of decreasing the drag is to apply surface suction to delay the transition from laminar to turbulent flow. In this paper an aerofoil with 3 non-overlapping panels covering up to 20% of chord for boundary layer transition control is considered. The problem is complicated by the fact that panels can change both their positions and lengths. The complexity of the optimization problem is such that it is not practical to perform the investigation using a single processor. A constrained global parallel algorithm based on a combination of deformed configuration methods and controlled random search method is developed. It is shown that for the problem considered, good solutions can be found efficiently.
机译:湍流具有比相同流动条件下的相应层流的速度显着更高,因此由于所需的额外推力而导致增加的燃料消耗量显着罚款。减少阻力的一种可能方法是施加表面抽吸以延迟从层流到湍流的过渡。在本文中,考虑了具有用于覆盖高达20%的用于边界层转换控制的3个非重叠板的机架。由于面板可以改变其位置和长度,问题是复杂的。优化问题的复杂性是使用单个处理器执行调查是不实际的。基于变形配置方法的组合和受控随机搜索方法的受约束的全局并行算法。结果表明,对于考虑的问题,可以有效地发现良好的解决方案。

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