Update-Magnitude State Redistribution (UM-SRD): A Shut-off Extension of Weighted SRD for Cut-Cell Methods
Justo E. Karell

TL;DR
This paper introduces UM-SRD, an extension of weighted SRD for cut-cell methods that adaptively reduces dissipation near steady states, ensuring stability, accuracy, and exact steady-state preservation.
Contribution
UM-SRD blends SRD with the identity operator based on update magnitude, improving steady-state preservation and stability in cut-cell finite-volume schemes.
Findings
UM-SRD is total variation diminishing under the same CFL condition as the base scheme.
Numerical experiments show UM-SRD converges to first order on smooth 1D and 2D advection tests.
UM-SRD stabilizes the base scheme near small cut cells where divergence occurs.
Abstract
Berger & Giuliani (2024) developed a provably stable weighted state redistribution (SRD) algorithm for cut-cell meshes. A key limitation of their method is that, although flux redistribu- tion naturally vanishes when updates are small, SRD continuously applies redistribution even when the flux balance is zero, preventing exact steady-state preservation and potentially in- troducing unnecessary dissipation in smooth regions. This work introduces Update-Magnitude State Redistribution (UM-SRD), which blends the SRD operator with the identity operator via a smooth, locally-defined scalar indicator of the finite-volume update magnitude. UM-SRD preserves conservation and reduces exactly to the base scheme when the finite-volume update is exactly zero in a small-cell neighborhood. For a one-dimensional model problem with a single small cut cell, we prove UM-SRD is total variation diminishing…
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