Fluid Structure Interaction for Nonlinear Response of Aorta Replacement
Bibliographic record
Abstract
Vascular prostheses used for repairing and replacing damaged and diseased the thoracic aorta in cases of aneurysm, dissection or coarctation have distinctly different mechanical properties than the native aorta. Very little is known about the dynamic behavior of vascular prostheses that can cause unwanted hemodynamic effects leading to their failure. In this study, a Dacron reconstitution of the aorta is modelled as an isotropic cylindrical shell by means of nonlinear Novozhilov shell theory. A numerical bifurcation analysis employs a refined reduced order model to investigate the dynamic behavior of a pressurized Dacron aortic replacement conveying blood flow. A pulsatile time-dependent blood flow model is considered in order to study the effect of pressurization by applying physiological waveforms of velocity and pressure during the heart beating period. Stresses due to pressurization are evaluated and included in the model. The fluid is modeled as a Newtonian pulsatile flow and it is formulated using a hybrid model that contains the unsteady effects obtained from the linear potential flow theory and the pulsatile viscous effects obtained from the unsteady time-averaged Navier-Stokes equations. Geometrically non-linear vibration response to pulsatile flow is here presented via frequency-response curves and time histories. This study provides a fully coupled fluid-structure interaction model and it allows deep insights in the mechanical loading condition of the aortic replacements; this insight has potential to aid in vascular prostheses design and implementation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".