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

拟议的研究计划旨在开发一个全面的虚拟多学科抗应力设计优化框架，以综合新型和节能飞机配置。SAVANT提出将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，生成由飞行员输入命令产生的“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高动态气动弹性载荷过程的效率和准确性。确定导致飞机结构最大载荷的飞行条件，并在这些条件下引入更高保真度的方法，将降低传统飞机载荷过程的成本和周转时间。此外，绿化飞机所需的创新设计可以更快、风险更低地进行评估。降阶建模技术也提供了高保真度方法的精度，而成本接近于目前的低保真度方法。因此，所提出的框架将是一个高保真、多学科和实时分析和优化工具，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，提供虚拟飞行测试能力。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，并降低解决飞行试验相关问题的成本。该仿真框架还将用于包含高展弦比机翼非线性气动弹性效应的控制律设计、机动飞行仿真和操纵质量评估。开发的计算工具和过程将通过基于低成本飞行测试演示模型的严格飞行测试程序进行验证和评估。SAVANT设计框架将成为设计新型民用运输机以及当前和未来梅吉特加拿大培训系统公司无人驾驶飞行器的宝贵工具，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.