Simulation-Driven Aerodynamic Design Using Variable-Fidelity Models

✍ Scribed by Leifur Leifsson, Slawomir Koziel

• Publisher: Imperial College Press
• Year: 2015
• Tongue: English
• Leaves: 444
• Category: Library

✦ Synopsis

Computer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering. However, although high-fidelity numerical models are accurate, they can be computationally expensive with evaluation time for a single design as long as hours, days or even weeks. Simulation-driven design using conventional optimization techniques may be therefore prohibitive.This book explores the alternative: performing computationally efficient design using surrogate-based optimization, where the high-fidelity model is replaced by its computationally cheap but still reasonably accurate representation: a surrogate. The emphasis is on physics-based surrogates. Application-wise, the focus is on aerodynamics and the methods and techniques described in the book are demonstrated using aerodynamic shape optimization cases. Applications in other engineering fields are also demonstrated.State-of-the-art techniques and a depth of coverage never published before make this a unique and essential book for all researchers working in aerospace and other engineering areas and dealing with optimization, computationally expensive design problems, and simulation-driven design.

✦ Table of Contents

Dedication
Table of Contents
Preface
Acknowledgements
Part I: Motivation and Problem Formulation
1 Introduction
2 Aerodynamic Shape Optimization
Part II: Optimization Techniques
3 Simulation-Driven Design: Direct Methods
4 Surrogate-Based Optimization
5 SBO with Approximation-Based Surrogates
6 SBO with Physics-Based Surrogates
Part III: Aerodynamics Modeling
7 Geometry Parameterization
8 High-Fidelity Aerodynamic Models
9 Low-Fidelity Aerodynamics Models
Part IV: Applications
10 Transonic Airfoil Shape Design
11 Transonic Wing Shape Design
12 Subsonic Shape Design
13 Selected Applications of Surrogate-Based Optimization in Other Areas
14 Surrogate-Based Optimization with MATLAB
Part V: Conclusion
15 Practical Aspects of Variable-Fidelity Design
Appendix
References
Index