Finite element analysis of abdominal aortic aneurysms: geometrical and structural reconstruction with application of an anisotropic material model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Computational biomechanics of abdominal aortic aneurysms (AAAs) made it possible to investigate several aspects of the disease and to provide information that would otherwise be difficult to obtain from experiments; the determination of wall stress distributions and rupture risk are two examples. A very few anisotropic strain–energy functions aim to capture vascular biomechanics and involve some coding to specify the collagen fibre orientations. In this study, we developed a solid mechanics framework for the use within Abaqus v. 6.10 (SIMULIA, Providence, RI, USA) with the aim to model the anisotropic response of AAAs in a robust and straightforward way. The proposed framework contains: (i) geometry reconstruction allowing flexible meshing; (ii) generation of 3D centrelines for each arterial branch; (iii) robust assignment of 3D collagen fibre orientation; (iv) AAA parameters for the Holzapfel–Gasser–Ogden model implemented in Abaqus. In the result section, we reproduce published stresses of an idealized geometry under physiological pressure with a difference of 4.41%, and apply the framework to patient-specific geometries. Finally, the simulation of an AAA deformed by two catheters during endovascular aortic repair is demonstrated.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it