Influence of Model Complexity and Aeroelastic Constraints on Multidisciplinary Optimization of Wings

This investigation focuses on the performance of the Automated Structural Optimization System multidisciplinary optimization code in the structural weight optimized design of two e nite element models of a low-aspect ratio e ghter-type wing. Optimal designs for the wing with the structure represented by a coarse and a more complex e nite element model are obtained with constraints imposed on strength, aileron reversal, and e utter using subsonic and supersonic aerodynamic theories. The results demonstrate the ability of ASTROS to effectively e nd local minima with weight as the objective function. The trends in the e nal weights illustrate the impact of changing design constraints on optimal design.