A proposed laboratory method to evaluate the durability of concrete pavement joints against freezing in the presence of deicer salts
Bibliographic record
Abstract
Deicer salts were found to cause deterioration to the concrete pavement, particularly at joints. This paper introduces a laboratory procedure that engineers and scientists can use to evaluate the durability of joints. Concrete samples were tested under different salt concentrations and exposure conditions, including freeze–thaw cycles, wet–dry cycles, and a combination thereof. The test sample comprises a square slab measuring 200 mm × 200 mm × 120 mm and a joint running in the middle at 40 mm depth. The results showed that the test method needs to include two salts with two exposure conditions for accelerated damage. The first exposure used NaCl at a 10% concentration with 50 cycles of freeze/thaw–wet/dry alternating every 5 consecutive cycles. The second exposure used CaCl 2 at a 15% concentration with 50 cycles of wetting and drying at 5 and 35 °C, respectively. Damage is assessed using the following two approaches: (1) strength loss under flexural loading and (2) visual damage.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".