CFD-based methodologies for the full flight envelope

众所周知，计算流体动力学（CFD）已经达到了一个高度成熟的水平，它在飞机气动设计中的使用现在是广泛的。基于这一巨大的成功，将CFD技术转移和应用到航空航天制造商的其他部门（和任务）的兴趣是很重要的。然而，正如许多作者所讨论的，CFD应用于载荷计算或稳定性和操纵性数据生成等任务的挑战仍然非常重要。 基于这些前提，目前提出的研究的主要目标是开发新的基础知识和方法，以支持航空CFD社区。我们的长期目标是为基于CFD的飞机全飞行包线气动力系数预测做出贡献。 本申请中提出的研究包括两个不同的项目，探索两种方法来实现主要目标。在第一个项目中，我们将致力于发展CFD建模误差预测的理论和方法。我们在这个项目中的目标是有助于发展的理论框架，并提出适当的方法来计算建模误差估计的层次结构的可压缩流模型。在第二个项目中，我们将研究计算流体力学，特别是外部空气动力学流动的代理模型的发展。我们在这个项目中的目标是开发一个综合的代理框架，结合不同保真度的各种模型的解决方案的层次结构，包括实验数据和整个飞行包线的不确定性估计。

It is well known that Computational Fluid Dynamics (CFD) has now reached a high level of maturity and that its usage in aircraft aerodynamic design is now widespread. Based on this immense success, the interest to transfer and apply the CFD technologies to other departments (and tasks) at aerospace manufacturers is important. However, as discussed by many authors, the challenges for the application of CFD to tasks such as loads calculation or the generation of stability and control data are still very important. Based on these premises, the main objective of the currently proposed research is to develop new fundamental knowledge and methodologies in support to the aeronautical CFD community. Our long term goal is to contribute to the CFD-based prediction of the aerodynamic coefficients for the full flight envelope of airplanes. The research proposed in this application comprise two different projects exploring two approaches to contribute to the main objective. In the first project, we will work on the development of the theory and methodologies for the prediction of modeling errors in CFD. Our objective in this project is to contribute to the development of a theoretical framework and to propose appropriate methodologies to compute modeling error estimations for hierarchies of compressible flow models. In the second project, we will investigate the development of surrogate models for computational fluid dynamics, especially external aerodynamics flows. Our objective in this project is to develop a comprehensive surrogate framework combining a hierarchy of solutions from various models with different fidelity, including experimental data and uncertainties estimates over the full flight envelope.