Aircraft optimization and sizing methodologies
The proposed research project concerns the development of optimization tools and sizing methodologies used to assess optimal structural airframe configurations and aerodynamic lines for given business cases. A PDF intern will be in charge of proposing improved optimization strategies, mainly related to composite material, and of adding specific capabilities inside the internally developed sizing tool (LibStress) with the aim to increase the reliability and accuracy of the optimization models. In addition to these tasks, the PDF will have to help coach Master’s students that are part of the development team. A PhD intern will work on the improvement of the efficiency and robustness of an optimization method used for aero-structural applications. One Master’s intern will be in charge of further developing an internal tool (WiSPER) related to the prediction of wingbox weight and stiffness used for the conceptual aircraft optimization phase. The second Master’s student will lead a comparative study highlighting the value of using alternative finite element method (FEM) tools that better address the optimization framework needs and constraints. The third Master’s student will take part in an optimization project related to specific wing components (i.e. ribs and spars). Finally, the fourth Master‘s student will evaluate the optimization algorithms employed in the conceptual MDO environment and recommend best practices and/or propose or develop improved algorithms. For instance, tuning of the algorithmic parameters can be considered by means of nonsmooth optimization techniques. Bombardier Aerospace (BA) will benefit from these Mitacs internships by quickly improving the optimization tools that are currently under development. These tools will enable BA to develop a high-quality Next Generation Business Jet (NGBJ) using state-of-the-art tools for exploring the design space.
