Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …

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 …

Aerodynamic shape optimization is frequently complicated and challenging due to the
involvement of multiple objectives, large-scale decision variables, and expensive cost …

Surrogate-based optimization (SBO) approach is becoming more and more popular in the
expensive aerodynamic design of aircraft. However, with increasing number of design …

This paper presents an efficient solution for high-fidelity large-scale aerodynamic shape
optimization problems based on several developments in the mid-range approximation …

In this paper, a multi-objective optimization strategy for efficient design of turbomachinery
blades using sparse active subspaces is implemented for a turbofan stage design. The …

Robust optimization design (ROD) is playing an increasingly significant role in aerodynamic
shape optimization and aircraft design. However, an efficient ROD framework that couples …

Accurately obtaining physics model information is essential for comprehending the
mechanisms of physical dynamics. However, the inherent complexity of these models …

Aiming at analyzing the structural fuzzy failure probability with probability inputs and fuzzy-
state assumption (profust model), an adaptive kriging model-based sequentially truncated …

In this paper, we explore the capabilities of partial dependence functions (PDP) for
knowledge discovery in airfoil aerodynamic databases. A surrogate model, essentially a …