Effect of Curing Methods on Quality of Concrete Joints: Experimental and Modeling
Bibliographic record
Abstract
Joint deterioration in concrete pavements is predominantly related to penetrability of concrete and environmental conditions. Saw-cutting as the last procedure in the construction sequence of concrete pavements may compromise the durability of joints due to insufficient curing and uncontrolled evaporation at an early age. Capillary absorption is considered fundamental to understanding the durability performance of porous building materials. Thus, the aim of this study is to develop an analytical model based on Katz-Thompson relationship to determine the absorption capacity of joints in concrete pavements according to an absorption test customized to the joint geometry of pavements. The experimental program involved absorption and mercury-intrusion porosimetry tests conducted on cores extracted from saw-cut concrete slabs with different curing scenarios. The absorption trends were modeled based on the unsaturated flow theory with three dimensional (3D) finite-element software. The results indicated that the unsaturated flow model reliably simulated fluid transport at joint locations in concrete with accurate predictions relative to experimental results.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".