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.
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