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physics.flu-dyn2025
Adjoint-based optimization of the control boundaries of a microfluidic acoustic flow
Javier Lorente-Macias, Matthew P. Juniper
In this study, we find the optimal control boundary (i.e., actuator velocity) that cancels the acoustic reverberations inside drop-on-demand inkjet printheads at a specific time. W…
physics.flu-dyn2024
Bayesian inference of mean velocity fields and turbulence models from flow MRI
A. Kontogiannis, P. Nair, M. Loecher +3
We solve a Bayesian inverse Reynolds-averaged Navier-Stokes (RANS) problem that assimilates mean flow data by jointly reconstructing the mean flow field and learning its unknown RA…
physics.flu-dyn2024
Bayesian inverse Navier-Stokes problems: joint flow field reconstruction and parameter learning
Alexandros Kontogiannis, Scott V. Elgersma, Andrew J. Sederman +1
We formulate and solve a Bayesian inverse Navier-Stokes (N-S) problem that assimilates velocimetry data in order to jointly reconstruct a 3D flow field and learn the unknown N-S pa…