Performance of nano-modified concrete under freezing and low temperatures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this study four mixtures were prepared at a constant w/b of 0.32 with different combinations of general use cement, Class F fly ash and nano-silica sol, targeting applications in cold weather. All mixtures incorporated calcium nitrate-nitrite solution as an antifreeze admixture. The mixtures were mixed, cast and cured using two different regimes: a constant freezing temperature of -5C, and cyclic freezing-low temperatures (-5/5C), without heating or insulation during the curing period. The performance of mixtures was assessed by setting time, compressive strength and mercury intrusion porosimetry tests. In addition, scanning electron microscopy was performed to characterize the microstructure of concrete. The incorporation of nanosilica significantly enhanced the overall performance of concrete, even with fly ash, indicating its promising use for cold weather applications in late fall and early spring periods, without the need for conventional heating and insulation practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it