Development of a Test Method to Evaluate Durability of Concrete Control Joints Against De-Icer Salts
Bibliographic record
Abstract
<p>This thesis introduces a test method that can be used to evaluate the integrity of control joints. Different salt concentrations and exposure conditions are tested including freeze-thaw cycles, wet-dry cycles and a combination thereof. The test sample is composed of a square block measuring 200x200x120 mm and a joint running in the middle at 40 mm depth. It was revealed that, for accelerated damage to be induced, the test method needs to include two salts with two conditions. The first exposure uses NaCl at 10% concentration with 50 cycles of freeze/thaw- wet/dry alternating every 5 consecutive cycles. The second exposure uses CaCl2 at 15% concentration with 50 cycles of wetting and drying at 5°C. Damage assessment is carried out using two approaches: 1) strength loss under flexural loading and 2) visual damage. The proposed method needs more optimization but is a step in the direction of testing different configuration of joints and concrete properties. </p>
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 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".