Simulation-Driven Aerodynamic Design Using Variable-Fidelity Models

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. 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