Construction of a reduced-order model of an electro-osmotic micromixer and discovery of attractors for petal structure
The chaotic state of microfluidic devices such as electroosmotic micromixers has received
extensive attention. Its unsteady flow and multi-physics mask low-dimensional structure and …
extensive attention. Its unsteady flow and multi-physics mask low-dimensional structure and …
[HTML][HTML] Flow structure and dynamics behind cylinder arrays at Reynolds number∼ 100
M Sharifi Ghazijahani, C Cierpka - Physics of Fluids, 2023 - pubs.aip.org
The flow behind nine different arrays of cylinders is experimentally investigated via Particle
Image Velocimetry (PIV) at a Reynolds number of Re∼ 100 based on the diameter of the …
Image Velocimetry (PIV) at a Reynolds number of Re∼ 100 based on the diameter of the …
Cluster-based control for net drag reduction of the fluidic pinball
We propose a Cluster-Based Control (CBC) strategy for model-free feedback drag reduction
with multiple actuators and full-state feedback. CBC consists of three steps. First, the input of …
with multiple actuators and full-state feedback. CBC consists of three steps. First, the input of …
Trajectory-optimized cluster-based network model for the sphere wake
We propose a novel trajectory-optimized cluster-based network model (tCNM) for nonlinear
model order reduction from time-resolved data following Li et al.[“Cluster-based network …
model order reduction from time-resolved data following Li et al.[“Cluster-based network …
From snapshots to manifolds–a tale of shear flows
We propose a novel nonlinear manifold learning from snapshot data and demonstrate its
superiority over proper orthogonal decomposition (POD) for shedding-dominated shear …
superiority over proper orthogonal decomposition (POD) for shedding-dominated shear …
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 …
Machine-learned control-oriented flow estimation for multi-actuator multi-sensor systems exemplified for the fluidic pinball
We propose the first machine-learned control-oriented flow estimation for multiple-input,
multiple-output plants. The starting point is constant actuation with open-loop actuation …
multiple-output plants. The starting point is constant actuation with open-loop actuation …
Reduced-order model and attractor identification for large eddy simulation of squirrel cage fan
A large eddy simulation (LES) of a squirrel cage fan (SCF) provides a precise representation
of turbulent flows with different degrees of complexity. This study comprehensively analyzes …
of turbulent flows with different degrees of complexity. This study comprehensively analyzes …
Dimensional analysis of hydrogen Knudsen compressor
The genetic algorithm for enhancing the elite preservation strategy is extended to data-
driven dimensional analysis and validated in the laminar boundary layer and the …
driven dimensional analysis and validated in the laminar boundary layer and the …
Learning the latent dynamics of fluid flows from high-fidelity numerical simulations using parsimonious diffusion maps
We use parsimonious diffusion maps (PDMs) to discover the latent dynamics of high-fidelity
Navier–Stokes simulations with a focus on the two-dimensional (2D) fluidic pinball problem …
Navier–Stokes simulations with a focus on the two-dimensional (2D) fluidic pinball problem …