摘要
实际气动设计中遇到的工程问题较为复杂,然而能够用于实际工程设计的高可信度气动外形优化设计工具较少。基于飞行器设计工程实际中的各种复杂气动约束和几何约束要求,集成高可信度非结构网格RANS方程求解器、弹簧比拟网格变形技术、FFD外形参数化、RBF代理模型、粒子群优化器,构建多设计点气动外形优化设计工具,并应用于先进低速层流翼型和高亚声速超临界机翼的气动外形优化设计中(包括单设计点和多设计点),进行考虑/不考虑气动约束和几何约束的气动外形优化设计分析。结果表明:多设计点气动外形优化设计工具有效,约束条件和智能优化器自动有效地引导了层流翼型和亚声速机翼外形的有利改变。
Engineering problems is complex in actual aerodynamic design,but high-fidelity aerodynamic shape optimization and design tool is scarcity.Aimed at the complicated aerodynamic constraints and geometry constraints of the aircraft design engineering,the high-fidelity unstructured-grid RANS equation solver,the spring dynamic mesh method,the FFD geometry parameterization method,the RBF function surrogate model and the PSO optimizer are integratedto build an aerodynamic shape multi-point optimization and design tool.It is employed for the advanced low-speed laminar-flow airfoil shape design and the high subsonic supercritical wing shape design via the single-point and multi-point cases,with/without the aerodynamic and the geometry constraints.The results show that the tool works,and the constraints and the intelligence optimizer automatically and effectively guide the airfoil and wing shape to change with improved aerodynamic performances.
出处
《航空工程进展》
CSCD
2016年第1期124-134,共11页
Advances in Aeronautical Science and Engineering
关键词
气动约束
几何约束
FFD外形参数化
RBF代理模型
粒子群优化器
aerodynamic constraints
geometry constraints
FFD geometry parameterization
RBF function surrogate model
PSO optimizer
