An Analysis and Design Framework for Extensive Natural Laminar Flow of Aircraft Wings

该合作项目的目标是开发必要的算法和工具，通过气动形状优化来分析和设计飞机部件层流扩展区域。该框架将采用reynolds -average Navier-Stokes解算器，以及基于湍流和相关的过渡模型来准确预测过渡点，并采用基于伴随的设计优化方法来执行形状和平台优化。最终目标是开发能够设计对环境负责的飞机的技术。该项目将有助于开发满足N+3（2025）或同等欧盟标准的先进飞机概念。现代飞机设计涉及众多学科的大量设计变量，最终导致大量数据集。获得这些参数的所有组合的高保真度解目前在计算上是难以解决的。为了缓解这个问题，设计人员通常依靠替代模型来模拟基于大数据集的复杂系统的输入-输出行为，以便在参数空间中获得感兴趣的函数的连续近似值。综上所述，合作研发将通过三个目标来开发必要的新算法。目的一，实现、验证和验证一个基于ranss的求解器与横流模型的过渡模型。目的二：建立自然层流的设计框架，并通过不确定性量化研究过渡流对外部扰动的敏感性。第三，开发一种新的自适应衍生增强代理模型，用于性能和负载分析的大数据集。

The objective of this collaborative project is to develop the necessary algorithms and tools for the analysis and design of extended region of laminar flow over aircraft components via aerodynamic shape optimization. The framework will employ a Reynolds-averaged Navier-Stokes solver, and turbulence and correlation-based transition models to accurately predict the transition point and an adjoint-based design optimization approach to perform both shape and planform optimization. The ultimate objective is to develop the enabling technologies to design environmentally responsible aircraft. This project will contribute towards the development of advanced aircraft concepts that satisfy the N+3 (2025) or equivalent EU standards. Modern aircraft design involves a large number of design variables for a multitude of disciplines culminating in extremely large number of data sets. Obtaining high fidelity solutions for all combinations of such parameters is currently computationally intractable. To alleviate this issue, designers often rely on surrogate models to simulate the input-output behaviour of complex systems based on large data sets in order to obtain a continuous approximation of functions of interest across the parameter space. In summary, the collaborative research and development will develop the necessary novel algorithms through three objectives. Objective One, implement, verify, and validate a transition model for a RANS-based solver with crossflow models. Objective Two, develop a design framework for natural laminar flow and investigate sensitivity of transitional flow to external perturbations through uncertainty quantification. Objective Three, develop a novel adaptive derivative-enhanced surrogate model of large data sets for performance and load analysis.