Comparing different nonlinear dimensionality reduction techniques for data-driven unsteady fluid flow modeling
Computational fluid dynamics (CFD) is known for producing high-dimensional
spatiotemporal data. Recent advances in machine learning (ML) have introduced a myriad …
spatiotemporal data. Recent advances in machine learning (ML) have introduced a myriad …
Review of rotating wing dynamic stall: Experiments and flow control
Dynamic stall has been a technical challenge and a fluid dynamical subject of interest for
more than fifty years; but in the last decade significant advances have been made in the …
more than fifty years; but in the last decade significant advances have been made in the …
[HTML][HTML] Research status and challenges in the manufacturing of IR conformal optics
J Zhao, S Wang, C Zhang, J Wang, Q Zhao - Defence Technology, 2024 - Elsevier
The infrared conformal window is one of the most critical components in aircraft. Conformal
windows with high performance bring low aberrations, high aerodynamic performance …
windows with high performance bring low aberrations, high aerodynamic performance …
Identifying dominant flow features from very-sparse Lagrangian data: a multiscale recurrence network-based approach
G Iacobello, DE Rival - Experiments in fluids, 2023 - Springer
Realistic fluid flow problems often require that Lagrangian tracers are deployed in a sparse
or very-sparse manner, such as for oceanic and atmospheric flows where large-scale motion …
or very-sparse manner, such as for oceanic and atmospheric flows where large-scale motion …
Analisis Text Mining pada Sosial Media Twitter Menggunakan Metode Support Vector Machine (SVM) dan Social Network Analysis (SNA)
TP Lestari - Jurnal Informatika Ekonomi Bisnis, 2022 - infeb.org
Online loans are growing rapidly in Indonesia in the last two years. This is because the
online loan administration requirements are easier compared to bank financial service …
online loan administration requirements are easier compared to bank financial service …
Scale-free topology of vortical networks in a turbulent thermoacoustic system
We use complex network analysis to investigate the vortical interactions in a bluff-body
stabilized combustion system containing a turbulent lean premixed swirling flame. Using …
stabilized combustion system containing a turbulent lean premixed swirling flame. Using …
Evolution of clusters of turbulent reattachment due to shear layer instability in flow past a circular cylinder
We perform large eddy simulations of flow past a circular cylinder for the Reynolds number
(Re) range, 2× 10 3≤ R e≤ 4× 10 5, spanning subcritical, critical, and supercritical …
(Re) range, 2× 10 3≤ R e≤ 4× 10 5, spanning subcritical, critical, and supercritical …
Orbital cluster-based network modelling
We propose a novel reduced-order methodology to describe complex multi-frequency fluid
dynamics from time-resolved snapshot data. Starting point is the Cluster-based Network …
dynamics from time-resolved snapshot data. Starting point is the Cluster-based Network …
Visibility analysis of boundary layer transition
We study the transition to turbulence in a flat plate boundary layer by means of visibility
analysis of velocity time-series extracted across the flow domain. By taking into account the …
analysis of velocity time-series extracted across the flow domain. By taking into account the …
Dynamics-augmented cluster-based network model
In this study, we propose a novel data-driven reduced-order model for complex dynamics,
including nonlinear, multi-attractor, multi-frequency, and multiscale behaviours. The starting …
including nonlinear, multi-attractor, multi-frequency, and multiscale behaviours. The starting …