Multidisciplinary design optimization of novel aircaft configurations: stick-to-stress simulation, validation and evaluation (SAVANT)

拟议的研究计划的目的是开发一个全面的虚拟多学科粘应力设计优化框架的合成新的和节能的飞机配置。SAVANT建议将联合收割机飞行动力学模型和基于气动降阶模型（ROM）的非线性气动弹性求解器结合起来，以根据飞行员输入指令生成“实时”载荷和应力。临界载荷识别方法和降阶建模技术将潜在地提供动态气动弹性载荷过程的效率和精度的阶跃变化。确定导致飞机结构上的最大载荷的飞行条件，并在这些条件下引入更高保真的方法，将减少常规飞机载荷过程的成本和周转时间。此外，绿色飞机所需的创新设计可以更快、更低风险地进行评估。降阶建模技术也提供了高保真度方法的准确性，其成本接近于当前的低保真度方法。因此，建议的框架将是一个高保真、多学科和真实的时间分析和优化工具，其中空气动力学、结构、推进和控制系统动力学紧密耦合在一起，以提供虚拟飞行试验能力。它可以用来准确地预测飞机的载荷和应力，以提高疲劳寿命，并减少解决飞行试验相关问题的成本。该仿真框架还将用于控制律设计、机动飞行仿真和操纵品质评估，其中包括大展弦比机翼的非线性气动弹性效应。所开发的计算工具和过程将通过一个以低成本飞行试验验证机模型为基础的严格的飞行试验计划进行验证和评估。SAVANT设计框架将成为设计新型民用运输机和当前及未来Meggitt培训系统加拿大无人机的宝贵工具，并将减少认证所需的飞行测试。

The proposed research program aims to develop a comprehensive virtual multidisciplinary stick-to-stress design optimization framework for the synthesis of novel and energy efficient aircraft configurations. SAVANT proposes to combine flight dynamic models and nonlinear aeroelastic solvers based on aerodynamic reduced order models (ROM) to generate "in real-time" loads and stresses resulting from pilot input commands. Critical load identification methods and reduced order modelling techniques will potentially provide a step change in the efficiency and accuracy of the dynamic aeroelastic loads process. Identifying the flight conditions that lead to the maximum loads on aircraft structures and introducing higher fidelity methods at these conditions will reduce the cost and turn around time of the loads process of conventional aircraft. In addition, innovative designs required for greening aircraft can be evaluated more rapidly and at lower risk. Reduced order modelling techniques also offer the accuracy of high fidelity methods at a cost close to that of the current low fidelity methods. As a result, the proposed framework will be a high fidelity, multidisciplinary and real time analysis and optimization tool where the aerodynamics, structures, propulsion and control system dynamics are tightly coupled together to provide a virtual flight test capability. It can be employed to accurately predict aircraft loads and stresses for improved fatigue life and mitigate the cost of solving flight test related problems. The simulation framework will also be used for control law design, maneuvering flight simulation and handling quality assessment with the inclusion of nonlinear aeroelastic effects for high aspect ratio wings. The computational tools and processes developed will be validated and evaluated through a rigorous flight test program based on low cost flight test demonstrator models. The SAVANT design framework will be a valuable tool to design novel civil transportation aircraft and current and future Meggitt Training Systems Canada Unmanned Air Vehicles and will lead to a reduction of flight tests necessary for certification.