Application of Surrogate-based Global Optimization to Aerodynamic Design

Szerző: Emiliano Iuliano, Esther Andrés Pérez

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

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Aerodynamic design, like many other engineering applications, is increasingly relying on computation...

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Szerző

Emiliano Iuliano, Esther Andrés Pérez

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2016

oldal

EAN

9783319372907

ISBN

3319372904

Enbook ID

18051535

Kiadó

Springer International Publishing AG

Súly

1474

Méretek

155 x 235 x 6

Teljes leírás

Aerodynamic design, like many other engineering applications, is increasingly relying on computational power. The growing need for multi-disciplinarity and high fidelity in design optimization for industrial applications requires a huge number of repeated simulations in order to find an optimal design candidate. The main drawback is that each simulation can be computationally expensive - this becomes an even bigger issue when used within parametric studies, automated search or optimization loops, which typically may require thousands of analysis evaluations. The core issue of a design-optimization problem is the search process involved. However, when facing complex problems, the high-dimensionality of the design space and the high-multi-modality of the target functions cannot be tackled with standard techniques. In recent years, global optimization using meta-models has been widely applied to design exploration in order to rapidly investigate the design space and find sub-optimal solutions. Indeed, surrogate and reduced-order models can provide a valuable alternative at a much lower computational cost. In this context, this volume offers advanced surrogate modeling applications and optimization techniques featuring reasonable computational resources. It also discusses basic theory concepts and their application to aerodynamic design cases. It is aimed at researchers and engineers who deal with complex aerodynamic design problems on a daily basis and employ expensive simulations to solve them.

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Application of Surrogate-based Global Optimization to Aerodynamic Design

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