Aggregate Moisture Content and Fresh Property Control Measures inCementitious Mortars
Bibliographic record
Abstract
A primary objective for any concrete, or other cementitious composite, is to ensure consistent, reliable, and predictable fresh properties between subsequent batches.This is especially important for additive manufacturing, grouting, and pumping applications, where regulation of the fresh properties is paramount to providing quality control.This study considered the main influences of aggregate moisture content and how that moisture is accounted for during batching on the flow, setting time, and compressive strength of a mortar currently used in an additive manufacturing process.The results indicated that aggregate moisture content can drastically alter the variability in these properties.When fresh properties need to be controlled for a mortar, it is recommended that the aggregates should be saturated surface dry, or at least partially saturated, and that the moisture should be properly accounted for by adjusting the batching proportions.This recommendation is based on the results in this study with the lowest amount of variability and therefore the greatest amount of reliability and consistency.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".