1. The described workflow is assembled to produce analysis solutions within times compatible with the pre-design activities, and its application is here tested with two design cases with increasing number of design variables. Nevertheless for both design cases, a metamodeling approach is employed to enable computationally inexpensive design optimization in the respective multivariate design spaces. Therein, each design space is sampled using a stratified space-filling Latin-Hypercube. For each case, the number of samples is selected appropriately to the respective number of design variables. Each sample is then analyzed with the complete workflow and Kriging metamodels are fitted for therespective figureof merit and thedesign constraints. B. Conventionalwing design
2. Non-linear aeroelastic prediction for aircraft applications
3. Future of Airplane Aeroelasticity
4. Multidisciplinary Design Exploration for a Winglet