A Smoothed Particle Hydrodynamics Approach to Simulation of Articular Cartilage
Bibliographic record
Abstract
A practical preoperative simulation of femoral acetabular impingement (FAI) requires a faster method than is currently available to simulate the articular cartilage within the hip joint. Articular cartilage has been extensively studied with finite element methods (FEM), and several models have previously been developed to simulate its complex material behaviour. In the present study, the fibril-reinforced poroviscoelastic model was extended to function in a smoothed particle hydrodynamics (SPH) simulation. Four indentation tests and one unconfined compression test were designed and validated with previously published experimental reaction force results. 3D models were visualized to identify areas of peak stress and component stresses during simulations. Strong correlation in reaction forces (r=0.98~0.99) was found between simulations and published results. 3D models displayed stress distributions indicating correct component behaviour. The fibril-reinforced poroviscoelastic models were found to perform with greater accuracy than the hookean models while requiring a mean frame rate drop of only 29% (standard deviation 0.62%). Simulations functioned at rates exceeding 100 frames / second.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".