Aerodynamic modeling plays an important role in multiphysics and design problems, in
addition to experiment and numerical simulation, due to its low-dimensional representation …

This paper presents a review of proper orthogonal decomposition (POD) methods for order
reduction in a variety of research areas. The historical development and basic mathematical …

The accurate evaluation of aircraft fuel burn over a complete mission is computationally
expensive and may require millions of aerodynamic performance evaluations. Thus, it is …

Autoencoder-based reduced-order modeling (ROM) has recently attracted significant
attention, owing to its ability to capture underlying nonlinear features. However, two critical …

We propose a wing-shaped composite structure that uses an electroless nickel-plated
carbon fabric as an electro-thermal heating element, thus improving the electrical and …

The large‐scale structure systems in engineering are complex, high dimensional, and
variety of physical mechanism couplings; it will be difficult to analyze the dynamic behaviors …

This paper presents a parametric reduced-order model (ROM) based on manifold learning
(ML) for use in steady transonic aerodynamic applications. The main objective of this work is …

Aircraft icing represents a serious hazard in aviation which has caused a number of fatal
accidents over the years. In addition, it can lead to substantial increase in drag and weight …

This article gives an overview of reduced-order modeling work performed in the DLR project
Digital-X. Parametric aerodynamic reduced-order models (ROMs) are used to predict …

Reduced-order modeling for multifidelity flow reconstruction offers increased accuracy while
saving cost in data generation. The key to obtaining successful multifidelity models lies in …