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A simple boundary condition regularization strategy for image velocimetry-based pressure field reconstruction

  • Connor Pryce,
  • Lanyu Li,
  • Jared P. Whitehead,
  • Zhao Pan

摘要

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.