An investigation of induced drag minimization using a Newton-Krylov algorithm
نویسندگان
چکیده
We present an optimization algorithm for the study of induced drag minimization, with applications to unconventional aircraft design. The algorithm is based on a discrete-adjoint formulation and uses an efficient parallel-Newton-Krylov solution strategy. We validate the optimizer by recovering an elliptical lift distribution using twist optimization; we believe this an important, and under-appreciated, benchmark for aerodynamic optimization. The algorithm is further illustrated using several design examples, including planform, spanwise vertical shape, and box-wing optimization.
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