Application of Surrogate-based Global Optimization to Aerodynamic Design

  • Emiliano Iuliano
  • Esther Andrés Pérez

Part of the Springer Tracts in Mechanical Engineering book series (STME)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Esther Andrés-Pérez, Leopoldo Carro-Calvo, Sancho Salcedo-Sanz, Mario J. Martin-Burgos
    Pages 1-24
  3. Varvara G. Asouti, Stylianos A. Kyriacou, Kyriakos C. Giannakoglou
    Pages 47-57

About this book


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.


Aerodynamic Shape Design CDF Aerodynamics CFD Modeling Aircraft Optimization Aerodynamic Design Support Vector Machines Surrogate Modeling

Editors and affiliations

  • Emiliano Iuliano
    • 1
  • Esther Andrés Pérez
    • 2
  1. 1.CIRA, the Italian Aerospace Research CenterCapua (CE)Italy
  2. 2.INTA, Spanish National Institute for Aerospace TechnologyTorrejón de ArdozSpain

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-21505-1
  • Online ISBN 978-3-319-21506-8
  • Series Print ISSN 2195-9862
  • Series Online ISSN 2195-9870
  • Buy this book on publisher's site