Efficient Global Aerodynamic Shape Optimization of a Full Aircraft Configuration Considering Trimming

IF 0.1 4区 工程技术 Q4 ENGINEERING, AEROSPACE Aerospace America Pub Date : 2023-08-21 DOI:10.3390/aerospace10080734
Kai Wang, Zhonghua Han, Keshi Zhang, Wenping Song
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Abstract

Most existing aerodynamic shape optimization (ASO) studies do not take the balanced pitching moment into account and thus the optimized configuration has to be trimmed to ensure zero pitching moment, which causes additional drag and reduces the benefit of ASO remarkably. This article proposes an efficient global ASO method that directly enforces a zero pitching moment constraint. A free-form deformation (FFD) parameterization combing Laplacian smoothing method is implemented to parameterize a full aircraft configuration and ensure sufficiently smooth aerodynamic shapes. Reynolds-averaged Navier–Stokes (RANS) equations are solved to simulate transonic viscous flows. A surrogate-based multi-round optimization strategy is used to drive ASO towards the global optimum. To verify the effectiveness of the proposed method, we adopt two design optimization strategies for the NASA Common Research Model (CRM) wing–body–tail configuration. The first strategy is to optimize the configuration without considering balance of pitching moment, and then manually trim the optimized configuration by deflecting the horizontal tail. The second one is to directly enforce the zero pitching moment constraint in the optimization model and take the deflection angle of the horizontal tail as an additional design variable. Results show that: (1) for the first strategy, about 4-count drag-reducing benefits would be lost when manually trimming the optimal configuration; (2) the second strategy can achieve 3.2-count more drag-reducing benefits than the first strategy; (3) compared with gradient-based optimization (GBO), surrogate-based optimization (SBO) is more efficient than GBO for ASO problems with around 80 design variables, and the benefit of ASO achieved by SBO is comparable to that obtained by GBO.
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考虑调边的全机构型高效全局气动形状优化
现有的气动外形优化(ASO)研究大多没有考虑平衡俯仰力矩,为了保证俯仰力矩为零,需要对优化后的构型进行微调,从而产生额外的阻力,大大降低了ASO的效益。本文提出了一种直接实现俯仰力矩为零约束的高效全局ASO方法。结合拉普拉斯平滑法,实现了一种自由变形参数化方法,实现了飞机全构型参数化,保证了气动外形的充分光滑。通过求解reynolds -average Navier-Stokes (RANS)方程来模拟跨声速粘性流动。采用基于代理的多轮优化策略,推动ASO向全局最优方向发展。为了验证该方法的有效性,我们对NASA通用研究模型(CRM)翼身尾结构采用了两种设计优化策略。第一种策略是在不考虑俯仰力矩平衡的情况下对构型进行优化,然后通过偏转水平尾翼对优化后的构型进行手动修整。二是在优化模型中直接执行零俯仰力矩约束,将水平尾翼的偏转角作为附加设计变量。结果表明:(1)对于第一种策略,人工裁剪最优配置会损失约4次的减阻效益;(2)第二种策略比第一种策略多获得3.2倍的减阻效益;(3)对于设计变量约为80个的ASO问题,与基于梯度的优化(GBO)相比,基于代理的优化(SBO)比基于梯度的优化(GBO)更有效,且基于代理的优化(SBO)获得的ASO效益与基于代理的优化(GBO)相当。
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来源期刊
Aerospace America
Aerospace America 工程技术-工程:宇航
自引率
0.00%
发文量
9
审稿时长
4-8 weeks
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