Aerodynamic optimisation has become an indispensable component for any aerodynamic
design over the past 60 years, with applications to aircraft, cars, trains, bridges, wind …

Multi-fidelity models provide a framework for integrating computational models of varying
complexity, allowing for accurate predictions while optimizing computational resources …

Multifidelity surrogates are essential in cases where it is not affordable to have more than a
few high-fidelity samples, but it is affordable to have as many low-fidelity samples as …

SURROGATE modeling plays an increasingly important role in different areas of aerospace
science and engineering, such as aerodynamic data production, aerodynamic shape …

For the simulation-based hull form optimization design, there are many methods to evaluate
the hydrodynamic performance of the hull form. Although the high fidelity of the surrogate …

Different multi-fidelity surrogate (MFS) frameworks have been used for optimization or
uncertainty quantification. This paper investigates differences between various MFS …

Variable-fidelity surrogate modeling offers an efficient way to generate aerodynamic data for
aero-loads prediction based on a set of CFD methods with varying degree of fidelity and …

We describe and analyze a variance reduction approach for Monte Carlo (MC) sampling that
accelerates the estimation of statistics of computationally expensive simulation models using …

The design process of complex systems such as new configurations of aircraft or launch
vehicles is usually decomposed in different phases which are characterized by the depth of …

SURROGATE modeling plays an increasingly important role in different areas of aerospace
engineering, such as aerodynamic shape optimization, aerodynamic data production …