Week of 2026-04-20 — 2 new papers
Cardiovascular CFD, hemodynamics, and AI modelling (PINN · neural operators · surrogates · digital twins). Auto-curated from OpenAlex + arXiv, classified with Claude.
At a glance
| Tier | Topic | Count |
|---|---|---|
| A | Boundary conditions (inlet/outlet, Windkessel) | 0 |
| B | Turbulence modelling (RANS, LES, DNS) | 1 |
| C | V&V and uncertainty quantification | 0 |
| D | Physiology & scaling laws | 0 |
| E | Imaging & WSS measurement | 1 |
| F | AI, ML & digital-twin pipelines | 0 |
Highlights this week
- Large-eddy simulation of the FDA benchmark blood pump: validation against experiments and implications for turbulent flow mechanisms — Xuanming Huang et al. · arXiv · physics.flu-dyn
- Reproducibility of 4D Flow MRI-Derived Diastolic Function Testing by Mitral and Pulmonary Venous Flow Indices in Healthy Volunteers — Thomas in de Braekt et al. · Applied Sciences
Tier B — Turbulence modelling (RANS, LES, DNS)
Large-eddy simulation of the FDA benchmark blood pump: validation against experiments and implications for turbulent flow mechanisms
Xuanming Huang et al. · arXiv · physics.flu-dyn · 2026 · arXiv:2604.15869
LES with transient rotor-stator coupling is validated against PIV data for the FDA benchmark centrifugal blood pump and compared systematically against RANS (MRF and sliding-interface), showing LES superiority in diffuser flow with strong intermittency. Mesh sensitivity and turbulent kinetic energy spectra are analyzed to establish best practices for scale-resolving VAD simulations.
Why it matters: Direct validation of LES vs. RANS for cardiovascular devices with practical meshing guidance (80M cells) is immediately relevant for VAD and turbomachine hemodynamics researchers seeking justified turbulence modeling choices.
Related from the AortaCFD corpus:
- Steinman & Migliavacca (2018) · Editorial: Special Issue on Verification, Validation, and Uncertainty Quantification of Cardiovascular Models: Towards Effective VVUQ for Translating Cardiovascular Modelling to Clinical Utility (p. 2) — DOI
- Büchner et al. (2024) · Analysis of the directional and spectral distributions of kinetic energy in aortic blood flow — DOI
Tier E — Imaging & WSS measurement
Reproducibility of 4D Flow MRI-Derived Diastolic Function Testing by Mitral and Pulmonary Venous Flow Indices in Healthy Volunteers
Thomas in de Braekt et al. · Applied Sciences · 2026 · DOI
A 4D Flow MRI reproducibility study of mitral and pulmonary venous flow indices in 21 healthy volunteers, comparing scan–rescan and interobserver agreement across different respiratory strategies. Results show moderate-to-strong reproducibility for most MV parameters (ICC 0.51–0.92) but poor agreement for E deceleration time and several PV indices, limiting clinical robustness of diastolic function assessment.
Why it matters: CFD researchers using 4D Flow MRI data as validation targets or boundary conditions need to understand measurement uncertainty and parameter reliability; poor reproducibility of certain indices directly affects confidence in patient-specific model calibration and V&V.
Related from the AortaCFD corpus:
- Manchester et al. (2022) · Evaluation of Computational Methodologies for Accurate Prediction of Wall Shear Stress and Turbulence Parameters in a Patient-Specific Aorta (p. 6) — DOI
- Markl et al. (2012) · 4D flow MRI (p. 10) — DOI
Methodology, tier definitions and scope caveats: see the Paper Digest landing page.
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