Material Detail

This video was recorded at International Workshop on Machine Learning for Aerospace, Marseille 2009. With the development of CFD techniques and design optimization methods, aerodynamic optimizations have been widely used in various aircraft designs. Particularly, the recent progress in surrogate-based aerodynamic optimization techniques enables efficient search over the wide range of design space with high-fidelity time-consuming CFD. The benefit of surrogate-based modeling is not only the reduction of number of expensive CFD but also the spread of sampling points that cover the whole design space. This enables to conduct various statistical analyses for data-mining purpose that helps to understand design problems in detail for further improvement. In this presentation, recent applications of Multi-Objective Design Exploration to new aircraft designs will be presented at the workshop.

Disciplines:

• Science and Technology  / Engineering