Approximation and Model Management in Aerodynamic Optimization with Variable-Fidelity Models
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چکیده
This work discusses an approach, rst-order approximation andmodelmanagement optimization (AMMO), for solving design optimization problems that involve computationally expensive simulations. AMMO maximizes the use of lower- delity, cheaper models in iterative procedures with occasional, but systematic, recourse to higher delity, more expensive models for monitoring the progress of design optimization. A distinctive feature of the approach is that it is globally convergent to a solution of the original, high- delity problem. Variants of AMMObased on three nonlinear programming algorithms are demonstrated on a three-dimensional aerodynamic wing optimization problemand a two-dimensional airfoil optimization problem. Euler analysis onmeshes of varying degrees of re nement provides a suite of variable- delity models. Preliminary results indicate threefold savings in terms of high- delity analyses for the three-dimensional problem and twofold savings for the two-dimensional problem.
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تاریخ انتشار 2001