Abstract High-performance aircraft often suffer from the consequences of tail buffeting at moderate subsonic Mach numbers and medium to high angles of attack. The impact of the aircraft’s highly unsteady flow field on the tails can result in significant structural fatigue and degraded handling qualities. Various methods have been developed to predict tail buffeting. Stochastic response methods are among frequently used approaches. For such methods the size of the excitation data set can become an issue, especially when the auto- and cross-spectra of all available excitation signals on the configuration are considered. The present paper demonstrates how to modify stochastic tail buffeting prediction methods using Proper Orthogonal Decomposition (POD). The approach is based on the modal decomposition of the aerodynamic buffet excitation data set. It notably reduces the computational effort for structural response and loads prediction with limited losses in accuracy while using all power- and cross-spectra of the reduced dataset. The method was applied to the computational buffeting prediction for a generic configuration with double-delta wing and horizontal tail plane (HTP) over a wide range of angles of attack. It was shown that the POD-modes of the aerodynamic buffet excitation resembled the characteristics of configuration’s complex vortical flow field. The predicted structural response and loads converged well with increasing number of POD-modes. With the presented approach, the computational effort of stochastic tail buffeting prediction has been reduced by orders of magnitude compared to the case with the full aerodynamic buffet excitation data set.

中文翻译：

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使用气动力的适当正交分解表示进行随机抖振预测

摘要 高性能飞机在中等亚音速马赫数和中到高攻角时经常遭受尾部抖振的后果。飞机高度不稳定的流场对尾部的影响会导致显着的结构疲劳和操纵质量下降。已经开发了多种方法来预测尾部抖动。随机响应方法是经常使用的方法之一。对于此类方法，激励数据集的大小可能成为一个问题，尤其是在考虑配置上所有可用激励信号的自动和交叉光谱时。本文演示了如何使用适当的正交分解 (POD) 修改随机尾部抖振预测方法。该方法基于气动抖振激励数据集的模态分解。在使用简化数据集的所有功率谱和交叉谱时，它显着减少了结构响应和载荷预测的计算工作量，同时精度损失有限。该方法应用于具有双三角翼和水平尾翼 (HTP) 的通用配置在大范围攻角的计算抖振预测。结果表明，气动抖振激励的POD模式与构型复杂涡流场的特征相似。随着 POD 模式数量的增加，预测的结构响应和载荷很好地收敛。通过所提出的方法，与具有完整气动抖振激励数据集的情况相比，随机尾抖预测的计算工作量减少了几个数量级。