Numerical analysis of prestressed sleepers affected by expansive mechanisms
Bibliographic record
Abstract
This paper assesses the effects of expansion mechanisms in prestressed concrete sleepers. A consequence of these mechanisms in concrete is the decrease in some mechanical properties such as compressive strength, tensile strength and Young’s modulus. Using the software ATENA 3D, based on the Finite Element Method, four geometrically identical sleepers were simulated with different expansion level rates. The values of the reduction of the mechanical properties were obtained through experimental tests results. From the results of the numerical analysis it was possible to correlate the maximum displacement, the states of stress-strain and the crack pattern with the loss of mechanical properties. It was observed that the shoulder region of prestressed sleepers tends to be more susceptible to the appearance of cracks, a phenomenon caused mainly as a consequence of the sleepers manufacturing process by prestressing, causing loss of bond in the regions close to the edge of the sleepers.
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How this classification was reachedexpand
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 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 teacher head, 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".