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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
A Rapid Aerodynamic Design Procedure Based on Artificial Neural Networks

A Rapid Aerodynamic Design Procedure Based on Artificial Neural Networks

Rai, Man Mohan
Nasa Technical Reports Server (Ntrs)

Paperback

General Political Science

Publisher Price: $14.75

ISBN10: 1289277508
ISBN13: 9781289277505
Publisher: Bibliogov
Published: Aug 6 2013
Pages: 22
Weight: 0.13
Height: 0.05 Width: 7.44 Depth: 9.69
Language: English
An aerodynamic design procedure that uses neural networks to model the functional behavior of the objective function in design space has been developed. This method incorporates several improvements to an earlier method that employed a strategy called parameter-based partitioning of the design space in order to reduce the computational costs associated with design optimization. As with the earlier method, the current method uses a sequence of response surfaces to traverse the design space in search of the optimal solution. The new method yields significant reductions in computational costs by using composite response surfaces with better generalization capabilities and by exploiting synergies between the optimization method and the simulation codes used to generate the training data. These reductions in design optimization costs are demonstrated for a turbine airfoil design study where a generic shape is evolved into an optimal airfoil.

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