We are happy to share with you our latest publication “Advection-based multiframe iterative correction for pressure estimation from velocity fields”, co-authored by Junwei Chen, Marco Raiola, and Stefano Discetti. The work introduces a novel method for time-resolved PIV fields over advection-dominated flows that significantly enhances the accuracy of these estimations using an advection-based multiframe iterative correction (AMIC) technique. The key achievements of our technique are:
- A Newly Designed Space-Time Filter – Surpasses the limitations of conventional filters and preserves more flow details.
- Reduction of Temporal Jitter and Spatial Noise – By leveraging spatial and temporal information, both components correct each other, leading to smoother results.
- Improved Pressure Estimation – Effectively refines the velocity field by enforcing the advection model, significantly improving pressure estimation even under strong noise conditions.
- Applicable to Both Planar and 3D Flow Fields – The method is versatile and can be employed in various time-resolved and advection-dominated flow configurations.
- Quantifying Pressure Estimation Quality – Introduces a sanity check for time-resolved pressure fields to assess the degree of non-physical flickering.
The AMIC technique overall enhances the reliability of velocity fields before pressure computation. The research demonstrates its effectiveness in both synthetic and experimental datasets, showing its potential for improving aerodynamic analysis, biomedical flows, and turbulence research.
Check out the full open access paper! For a deeper dive into the code and data sets, you can also visit Zenodo and Github.
