Evaluation of electrical resistivity and maturity for estimating the early-age properties of pre-packaged concrete
Bibliographic record
Abstract
Although 28-day concrete compressive strength is often used as a quality control indicator, early-age mechanical properties are becoming more critical to optimize construction scheduling. Electrical resistivity (ER) and maturity can be used to appraise mechanical properties’ gain over time. Although these methods are well-defined for conventional concrete, there is a lack of studies using these techniques to predict strength of pre-packaged concrete mixes containing distinct materials. This paper aims to explore the feasibility of estimating early-strength gain of pre-packaged repair materials through ER and maturity. Calibration curves were developed using cylinders cured at room temperature and compared to samples cured under low/fluctuating temperature conditions. The average predicted-to-experimental strength ratios using ER and maturity method ranged from 1.07–1.17 and 0.86–1.16, respectively. Moreover, a statistical analysis of variance confirmed that there is no significant scatter within the results obtained from the same mixture.
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".