A Simple Boundary Condition Regularization Strategy for Image Velocimetry Based Pressure Field Reconstruction

Fuente: arXiv
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Main Authors: Pryce, Connor, Li, Lanyu, Whitehead, Jared P., Pan, Zhao
Format: Preprint
Published: 2024
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author Pryce, Connor
Li, Lanyu
Whitehead, Jared P.
Pan, Zhao
author_facet Pryce, Connor
Li, Lanyu
Whitehead, Jared P.
Pan, Zhao
contents We propose a simple boundary condition regularization strategy to reduce error propagation in pressure field reconstruction from corrupted image velocimetry data. The core idea is to replace the canonical Neumann boundary conditions with Dirichlet ones obtained by integrating the tangential part of the pressure gradient along the boundaries. Rigorous analysis and numerical experiments justify the effectiveness of this regularization.
format Preprint
id arxiv_https___arxiv_org_abs_2402_11165
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Simple Boundary Condition Regularization Strategy for Image Velocimetry Based Pressure Field Reconstruction
Pryce, Connor
Li, Lanyu
Whitehead, Jared P.
Pan, Zhao
Fluid Dynamics
We propose a simple boundary condition regularization strategy to reduce error propagation in pressure field reconstruction from corrupted image velocimetry data. The core idea is to replace the canonical Neumann boundary conditions with Dirichlet ones obtained by integrating the tangential part of the pressure gradient along the boundaries. Rigorous analysis and numerical experiments justify the effectiveness of this regularization.
title A Simple Boundary Condition Regularization Strategy for Image Velocimetry Based Pressure Field Reconstruction
topic Fluid Dynamics
url https://arxiv.org/abs/2402.11165