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Shape Optimization for Blended-Wing-Body Underwater Gliders with Structure Constraint

机译:具有结构约束的混纺机身水下滑翔机的形状优化

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To improve the hydrodynamic efficiency and performance in shallower glide path angle, blended-wing-body (BWB) configuration is applied in underwater gliders. Plentiful works have been focused on shape optimization of this configuration to improve the lift to drag ratio. However the arrangement of structure components, such as the pressure hull, tends to be neglected in geometric model. In this paper, the pressure hull is set as constraint during optimization. Both planar and sectional shape parameters are taken into account for building parametric model and 20 design variables are used for optimization. Computational fluid dynamics (CFD) method is used for hydrodynamic calculation and the results are used for training neural network as surrogate model. Based on multiple island genetic algorithm, the optimization is conducted to search for the shape with higher lift to drag ratio. The hydrodynamic performance of the obtained optimized model is verified to be better at wide states and the lift to drag ratio is improved by 12.4% at the designed attack of angle.
机译:为了提高较浅的滑动路径角度的流体动力学效率和性能,混合 - 翼体(BWB)配置应用于水下滑翔机。丰富的作品一直专注于这种配置的形状优化,以改善升力以阻力比。然而,在几何模型中倾向于忽略结构部件的布置,例如压力船体。在本文中,压力船体在优化期间被设定为约束。考虑到平面和截面形状参数,用于构建参数模型,20个设计变量用于优化。计算流体动力学(CFD)方法用于流体动力学计算,结果用于训练神经网络作为代理模型。基于多岛遗传算法,进行优化以搜索具有更高提升到拖动比的形状。所得优化模型的流体动力学性能被验证在广泛的状态下更好,并且在角度的设计攻击时,升力将增加12.4%。

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