Assessing the Bond Quality of Pre-Stressing Strands with SCC Using NASP Test
Bibliographic record
Abstract
Important research in durability of self consolidating concrete structures dates back to 1980 in Japan. The lack of standardized test procedures, performance data and current design application uncertainty to members made with SCC had limited its acceptance in U.S despite of its increased use in Japan, Canada and Europe. SCC has drawn attention in pre-stressed industry due to benefit in enhancing construction productivity. Despite the interest in SCC and rapid development of SCC technology, its widespread use is restrained somewhat by the material and structural performance concerns, including the issue of bond. This thesis highlights effects of SCC on the bond performance of pre-stressing strands. The Standard Test for Bond (also called the North American Strand Producers Bond Test) was performed to evaluate the effect of 0.5 in strand with various SCC mixtures. Research variables include coarse aggregate content and sizes with a fixed rate of HRWRA and VMA. From these test, the pull out values are used to determine whether SCC causes a change in the bond strength of pre-stressing strand. With this, the effects of SCC proportions on the bond properties can be evaluated.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".