This article provides an overview of multi-fidelity modeling trends. Fidelity in modeling refers
to the level of detail and accuracy provided by a predictive model or simulation. Generally …

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 …

A brief review of some recent variable-fidelity aerodynamic shape optimization methods is
presented. We discuss three techniques that—by exploiting information embedded in low …

An aerodynamic optimization method for axial flow compressor blades available for
engineering is developed in this paper. Bezier surface is adopted as parameterization …

Surrogate models or metamodels are commonly used to exploit expensive computational
simulations within a design optimization framework. The application of multi-fidelity …

Surrogate modelling is a popular approach for reducing the number of high fidelity
simulations required within an engineering design optimization. Multi-fidelity surrogate …

In this work, we propose a new Gaussian process regression (GPR)-based multifidelity
method: physics-informed CoKriging (CoPhIK). In CoKriging-based multifidelity methods, the …

OPTIMIZATION has become an important element in the design and development of modern
civil airliners. It is the continual goal of aircraft designers to improve performance, reducing …

Real‐time hybrid simulation (RTHS) provides an effective and efficient experimental
technique to enable large‐or full‐scale experiments to account for rate‐dependent behavior …

A surrogate-based optimization algorithm for transonic airfoil design is presented. The
approach replaces the direct optimization of an accurate, but computationally expensive …