Gradient-based multi-disciplinary optimisation with CAD-based parametrisation, application to an aircraft winglet

基于 CAD 参数化的基于梯度的多学科优化，应用于飞机小翼

• 批准号: 2142122
• 金额: --
• 依托单位: Queen Mary University of London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2142122
• 关键词: Gradient; based; multi; disciplinary; optimisation

Gradient-based methods are essential for high-fidelity shape optimisation, great strides have been made in computing derivatives for CFD using adjoint solvers and are now widely used in aerospace design. Parametrisation of the shape remains a bottleneck, as computation of the shape gradients of CAD geometries is challenging. Winglets are an important part of wing design, the winglet geometry has a strong influence on the aerodynamics of the entire wing, as well as on the structural design of the wing. An optimal winglet design needs a careful trade-off of aerodynamic efficiency vs. structural weight, requiring high-fidelity analysis.The aim of the project is to explore the capability, efficiency and robustness of the various shape parametrisation approaches developed at QMUL when applied to the multi-disciplinary shape optimisation of the winglet of a wing-fuselage benchmark case. The flow and structure simulations are carried out with Airbus' simulation tools such as high-fidelity CFD flow simulations, as well as simplified structure models developed for this case. QMUL's CAD parametrisation tools will be used to control the geometry.

基于梯度的方法对于高保真形状优化是必不可少的，在使用伴随解算器计算CFD导数方面取得了巨大进展，目前已广泛应用于航空航天设计。形状的参数化仍然是一个瓶颈，因为CAD几何形状梯度的计算是具有挑战性的。小翼是机翼设计的重要组成部分，小翼的几何形状对整个机翼的空气动力学性能以及机翼的结构设计都有很大的影响。一个最佳的小翼设计需要在气动效率和结构重量之间进行仔细的权衡，需要高保真度的分析。该项目的目的是探索在QMUL开发的各种形状参数化方法的能力，效率和鲁棒性，当应用于翼-机身基准案例的小翼的多学科形状优化时。利用空客公司的高保真CFD流动模拟等仿真工具，以及为本案例开发的简化结构模型，进行了流场和结构仿真。QMUL的CAD参数化工具将用于控制几何形状。