Learning rheological parameters of non-Newtonian fluids from velocimetry data
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DOI: 10.1017/jfm.2025.92
Abstract: Abstract We solve a Bayesian inverse Navier–Stokes (N–S) problem that assimilates velocimetry data by jointly reconstructing a flow field and learning its unknown N–S parameters. We devise an algorithm that learns the most likely parameters… read more here.
Keywords: newtonian fluids; velocimetry; non newtonian; model ... See more keywords