DURING the last two decades, giant strides have been achieved in many aspects of
computational engineering and sciences. Higher-order mathematical models, better …

The proper orthogonal decomposition (POD) method is applied to the computational fluid
dynamics (CFD)-based reduced-order aeroelastic modeling of a complete F-16 fighter …

SUMMARY A rigorous method for stabilizing projection‐based linear reduced‐order models
without significantly affecting their accuracy is proposed. Unlike alternative approaches, this …

Aircraft structure design is a complex industrial process that requires multidisciplinary
analyzes and considerations in fields as diverse as aerodynamics, structure, materials and …

This paper proposes a two-level, data-driven, digital twin concept for the autonomous
landing of aircraft, under some assumptions. It features a digital twin instance (DTI) for model …

The variational multiscale formulation of large eddy simulations developed by Hughes and
his co-workers for incompressible turbulent flows is first extended to the case of …

IT HAS already been established in the literature that linearized computational fluid
dynamics (CFD)-based aeroelastic reducedorder models (ROMs) are capable of predicting …

IN THE transonic flight regime, state-of-the-art computational fluid dynamics (CFD)-based
nonlinear simulation technologies [1–4] have become a superior choice over linear …

A methodology grounded in model reduction is presented for accelerating the gradient-
based solution of a family of linear or nonlinear constrained optimization problems where …

An explicit–explicit staggered time‐integration algorithm and an implicit–explicit counterpart
are presented for the solution of non‐linear transient fluid–structure interaction problems in …