Editors:
- Innovative methods are presented opening new frontiers towards a more efficient aerodynamic design
- The usage of surrogate models in the preliminary or detailed aerodynamic design phase is envisaged to provide significant benefits in terms of computational cost and time savings
- The proposed methods and applications are in line with industrial interest
Part of the book series: Springer Tracts in Mechanical Engineering (STME)
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Table of contents (4 chapters)
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Front Matter
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.
Editors and Affiliations
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CIRA, the Italian Aerospace Research Center, Capua (CE), Italy
Emiliano Iuliano
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INTA, Spanish National Institute for Aerospace Technology, Torrejón de Ardoz, Spain
Esther Andrés Pérez
Bibliographic Information
Book Title: Application of Surrogate-based Global Optimization to Aerodynamic Design
Editors: Emiliano Iuliano, Esther Andrés Pérez
Series Title: Springer Tracts in Mechanical Engineering
DOI: https://doi.org/10.1007/978-3-319-21506-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-21505-1Published: 16 October 2015
Softcover ISBN: 978-3-319-37290-7Published: 23 August 2016
eBook ISBN: 978-3-319-21506-8Published: 05 October 2015
Series ISSN: 2195-9862
Series E-ISSN: 2195-9870
Edition Number: 1
Number of Pages: XIV, 72
Topics: Aerospace Technology and Astronautics, Engineering Fluid Dynamics, Engineering Design, Simulation and Modeling