Data-driven modeling for unsteady aerodynamics and aeroelasticity
Aerodynamic modeling plays an important role in multiphysics and design problems, in
addition to experiment and numerical simulation, due to its low-dimensional representation …
addition to experiment and numerical simulation, due to its low-dimensional representation …
[HTML][HTML] Improving aircraft performance using machine learning: A review
This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
Data-driven modal decomposition methods as feature detection techniques for flow problems: A critical assessment
Modal decomposition techniques are showing a fast growth in popularity for their wide range
of applications and their various properties, especially as data-driven tools. There are many …
of applications and their various properties, especially as data-driven tools. There are many …
Koopman analysis by the dynamic mode decomposition in wind engineering
The Koopman theory, a concept to globally model nonlinear signals by a linear Hamiltonian,
has been at the frontier of fluid mechanics research for the last decade. Wind engineering …
has been at the frontier of fluid mechanics research for the last decade. Wind engineering …
The linear-time-invariance notion to the Koopman analysis: The architecture, pedagogical rendering, and fluid–structure association
This work augments a Linear-Time-Invariance (LTI) notion to the Koopman analysis, finding
an invariant subspace on which consistent Koopman modes are expanded with fluid …
an invariant subspace on which consistent Koopman modes are expanded with fluid …
[HTML][HTML] A parametric and feasibility study for data sampling of the dynamic mode decomposition: Spectral insights and further explorations
The present work extends the parametric investigation on the sampling nuances of dynamic
mode decomposition (DMD) under Koopman analysis. Through turbulent wakes, the study …
mode decomposition (DMD) under Koopman analysis. Through turbulent wakes, the study …
The linear-time-invariance notion of the Koopman analysis. Part 2. Dynamic Koopman modes, physics interpretations and phenomenological analysis of the prism …
This serial work presents a linear-time-invariance (LTI) notion to the Koopman analysis,
finding consistent and physically meaningful Koopman modes and addressing a long …
finding consistent and physically meaningful Koopman modes and addressing a long …
Higher order dynamic mode decomposition: From fluid dynamics to heart disease analysis
In this work, we study in detail the performance of Higher Order Dynamic Mode
Decomposition (HODMD) technique when applied to echocardiography images. HODMD is …
Decomposition (HODMD) technique when applied to echocardiography images. HODMD is …
Suppression of vortex shedding using a slit through the circular cylinder at low Reynolds number
The present article aims to study the suppression of vortex shedding using a passive flow
control technique (slit through a circular cylinder) in the laminar regime (Re= 100–500). The …
control technique (slit through a circular cylinder) in the laminar regime (Re= 100–500). The …
[HTML][HTML] A dynamic mode decomposition technique for the analysis of non–uniformly sampled flow data
Abstract A novel Dynamic Mode Decomposition (DMD) technique capable of handling non–
uniformly sampled data is proposed. As it is usual in DMD analysis, a linear relationship …
uniformly sampled data is proposed. As it is usual in DMD analysis, a linear relationship …