A Test Protocol for Evaluating Absorption of Joints in Concrete Pavements
Bibliographic record
Abstract
Abstract Premature deterioration at joint spresents a critical durability issue of concrete pavements associated with considerable repair costs. Durability of concrete exposed to aggressive environments depends mainly on the penetrability of its pore structure. Because absorption has been used as an important indicator for quantifying the durability of concrete, the aim of this study was to develop a customized test protocol for determining the absorption capacity of joints in concrete pavements. The study involved three phases with thorough statistical analyses of results. In Phase I, different absorption procedures were applied to laboratory specimens prepared with water-to-binder ratios (w/b) of 0.3, 0.5, and 0.6, representing variable qualities of concrete. The most efficient procedure was identified from Phase I and further verified in Phase II on concrete specimens prepared with a close range of w/b (0.35 and 0.40). In Phase III, the performance of the absorption protocol selected from the previous phases was assessed on cores extracted from recently constructed pavement sections in Winnipeg, Manitoba, Canada. To further complement and verify the trends obtained from the absorption protocol, mercury intrusion porosimetry tests were conducted on the field cores to capture the characteristics of the pore structure. The results indicated that the proposed absorption protocol was efficient, robust, and reliable in reflecting the physical features of the microstructure of field pavement sections, including joint locations.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".