Derlaga Joseph M, Park Michael A, Rallabhandi Sriram K
NASA Langley Research Center, Hampton, Virginia, 23681.
J Aircr. 2019 May;56(3):953-961. doi: 10.2514/1.C034841. Epub 2019 Mar 19.
The computational fluid dynamics (CFD) prediction workshops sponsored by the AIAA have created invaluable opportunities to discuss the predictive capabilities of CFD in areas in which it has struggled, e.g., sonic boom prediction. While there are many factors that contribute to disagreement between simulated and experimental results, such as modeling or discretization errors, quantifying the errors contained in a simulation is important for those who make decisions based on the computational results. The linearized error transport equations (ETE) combined with a truncation error estimate is a method to quantify one source of error. The ETE are implemented with a complex-step method to provide an exact linearization with minimal source code modifications to CFD and multidisciplinary analysis methods including atmospheric propagation of sonic boom signatures. Uniformly refined grids from the 2nd AIAA Sonic Boom Prediction Workshop demonstrate the utility of ETE for multidisciplinary analysis with a connection between estimated discretization error and (resolved or under-resolved) flow features.
由美国航空航天学会(AIAA)主办的计算流体动力学(CFD)预测研讨会创造了非常宝贵的机会,来讨论CFD在其面临困难的领域中的预测能力,例如声爆预测。虽然有许多因素导致模拟结果与实验结果存在差异,如建模或离散化误差,但对于那些基于计算结果做出决策的人来说,量化模拟中包含的误差很重要。线性化误差传输方程(ETE)与截断误差估计相结合是一种量化误差来源的方法。ETE通过复步法实现,以在对CFD和多学科分析方法(包括声爆信号的大气传播)进行最小源代码修改的情况下提供精确的线性化。来自第二届AIAA声爆预测研讨会的均匀细化网格展示了ETE在多学科分析中的效用,以及估计离散化误差与(已解析或未充分解析的)流动特征之间的联系。