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Introduction for SD_FPI code
The code could integrate a 2D or 3D pressure gradient field to get the pressure field, which is a necessary procedure for PIV-based pressure reconstruction. The code also works for integrating any other gradient fields, just replacing the input pressure gradient fields.
The returning result for this code is the least-square solution for
(∂p/∂x=f(x,y,z);
∂p/∂y=g(x,y,z);
∂p/∂z=h(x,y,z);
f(x,y,z),g(x,y,z),h(x,y,z) are input 3D scalar fields. The solving algorithm is based on the spectral decomposition, which has been reported by Wang et al. (2017). The time-cost and memory consumption for running this code are pretty low.
Reference:
Wang C, Gao Q, Wei R, Li T, Wang J (2017) Spectral decomposition‑based fast pressure integration algorithm. Exp Fluids 58:84
Wang C, Gao Q, Wei R, Li T, Wang J (2017) Weighted divergence correction scheme and its fast implementation. Exp Fluids 58:44
Cite As
Chengyue Wang (2026). Spectral decomposition based fast pressure integration algorithm (SD-FPI) (https://in.mathworks.com/matlabcentral/fileexchange/63307-spectral-decomposition-based-fast-pressure-integration-algorithm-sd-fpi), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (161 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |