TAPERED FRACTURE FIXATION PLATE REDUCES BONE STRESS SHIELDING: A COMPUTATIONAL STUDY
Bibliographic record
Abstract
Rigid fracture fixation plates offer stability to the fractured bone, but are known to result in stress shielding of the bone. This stress shielding results in bone resorption; which in-turn results in re-fracture of the bone after the bone-plate is removed. The aim of this research was to design a stiffness graded bone-plate to reduce the stress shielding effect. Stiffness grading of bone plate model was achieved by tapering the bone-plate along its length. A 3D finite element model of human femoral diaphysis and bone-plates with traditional design and tapered design were constructed using commercial finite element software Abaqus. These models were loaded in combined compression and bending, similar to the loads during walking. Stress distribution and the location of neutral axis were obtained for (a) Bone (b) Bone with traditional bone-plate and (c) Bone with tapered bone-plate. Results showed that tapered bone-plate results in substantial reduction in stress shielding in bone when compared to traditional bone-plate. The taper was optimized for reduction in stress shielding and adequate mechanical strength. We recommend tapered bone-plate instead of traditional uniform bone-plate for fracture fixation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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".