Evaluation of Early-Age Volume Changes of Shotcrete Using Ring Specimens
Bibliographic record
Abstract
In this study, both free and restrained shrinkage tests were performed to derive the total tensile strain behavior (i.e., creep effect) of wet-mix and dry-mix shotcretes. A simple analysis procedure is presented to quantify the tensile creep properties of shotcrete using results obtained from standard ring tests and mechanical property tests. The results showed that the rings dried along the axial direction had higher total tensile strain properties compared with those dried along the radial direction. The results further showed that coarse aggregate content of shotcrete affects the total tensile strain properties. Similarly, adding silica fume, fly ash, polymer, shrinkage-reducing admixture (SRA), and crack-reducing admixture (CRA) reduces the total tensile strain properties of shotcrete. However, the decrease observed when using SRA and CRA does not increase the risk of early-age cracking because shrinkage is also reduced proportionally. Thus, a higher total tensile strain capacity is only beneficial in reducing cracking if it does not cause a proportional increase in shrinkage. Overall, the analysis indicates that the effect of creep is a crucial factor in the evaluating of the risk and sensitivity to cracking of shotcrete.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".