Thermal properties of fibre-reinforced alkali-activated concrete in extreme temperatures
Bibliographic record
Abstract
The thermal conductivity and specific heat capacity of paste and concrete prepared with alkali-activated fly ash were investigated. Along with a reference plain concrete mix, two other mixes were reinforced with a blend of steel and polypropylene fibres to examine the role of fibre reinforcement on the thermal constants. The mixtures were exposed to a range of extreme temperatures in the sub-zero and elevated regimes, from −30°C to 300°C, for a duration of 2 h. The thermal constants were measured using the transient plane source method on a hot-disc thermal analyser system. The results showed that there was no phase change in the alkali-activated system within the range of exposures. The thermal conductivity increased with a drop in ambient temperature, especially in the sub-zero regime. Adding fibres tended to lower the thermal conductivity, probably due to the finer pore size and consequent lowering of the freezing point of water. The specific heat capacity was found to rise with an increase in ambient temperature. A rule-of-mixtures approach was found to closely approximate the thermal constants at room temperature.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".