Factors Influencing the Pore Structure Parameters of Lightweight Cement-Based Foams
Why this work is in the frame
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Bibliographic record
Abstract
Abstract This study quantifies the pore wall spacing and shape factor of lightweight cement-based foam pore structure and investigates its correlation with density, pozzolan, compressive strength, and thermal conductivity. The lightweight cement-based foam mixtures were prepared for the densities of 800–400 kg/m3 and by replacing cement with fly ash, silica fume, and metakaolin up to 20 % by mass. The nondestructive technique of X-ray microtomography was used for quantifying the pore structure parameters. In addition, the transient plane heat source technique was used to evaluate the thermal conductivity of these mixtures. The results show that the optimal pore wall spacing increases from 0.28 to 0.55 mm as the density rises from 400 to 800 kg/m3. It was observed that the median pore wall spacing (SP50) values increases as the cast density get higher. While the reduction in thermal conductivity was noticed for lower SP50 values. Furthermore, incorporating pozzolanic admixtures at higher cement replacement ratios affects the pore wall spacing. Moreover, spherically shaped pores were found in all mixtures.
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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