Abstract
An enhanced high-order reconstruction method for finite-volume solvers in orthogonal curvilinear coordinates is presented. Extending the classical Partial Donor Method (PDM) to account for geometric effects, the scheme achieves arbitrary high-order convergence while preserving monotonicity and minimizing numerical diffusion. Optimal seventh-order interpolation formulas for uniform cylindrical and spherical-radial grids are derived, complemented by an optional non-clipping algorithm that enhances accuracy near narrow extrema. Extensive tests in both linear and non-linear systems validate the method's high spatial accuracy and non-oscillatory performance. Its straightforward derivation and modest computational overhead render the approach a promising tool for astrophysical, space, and planetary applications, with the potential for extension to other curvilinear systems.
| Original language | English |
|---|---|
| Article number | 109808 |
| Journal | Computer Physics Communications |
| Volume | 316 |
| DOIs | |
| State | Published - Nov 2025 |
| Externally published | Yes |
Keywords
- Curvilinear geometry
- Finite volume
- Numerical methods
- Reconstruction
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