Influence of Paving Condition on Longitudinal Cracking of Portland Cement Concrete Pavement
Bibliographic record
Abstract
The curling stresses of rigid pavement are the result of in-situ and built-in temperature gradient. A profound investigation on the reasons causing longitudinal cracking (LC) was conducted in this paper. Based on finite element method (FEM) analysis results obtained from ISLAB 2000, the wheel load stress generated by a single axle load that is applied along the transverse joints is considered to be the critical loading condition for longitudinal cracking. Nonlinear environmental stress due to the curling of Portland Cement Concrete (PCC) was analyzed using the numerical program developed in this study; the paving time within a day has a significant influence on the curling stresses at the top portion of PCC slab at the critical loading position for longitudinal cracking. Research in this paper proposed an analytical method to determine the influence of the paving condition (day time and night time) on the built-in setting gradient and its effect on the in-situ effective equivalent temperature differential.
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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 | 0.000 |
| 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) | 0.001 | 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".