Influence of Basalt Fiber on the Physical and Mechanical Properties of Aerated Ceramsite Concrete
Bibliographic record
Abstract
In order to improve the technical performance of Aerated Ceramsite Concrete (ACC) so that it could better meet the requirements of lightweight wallboards for prefabricated buildings, this study mixed 0%, 0.05%, 0.10%, 0.15% and 0.20% of the Basalt Fiber (BF) by volume ratio into the ACC of 100mm-thickness LC15 lightweight wallboards, and conducted experiments to test the apparent density, compressive strength, splitting tensile strength, and flexural strength on the 7d, 14d, and 28d of the experiment; then, the microstructure and failure forms of the BF-improved ACC material were observed and analyzed, and the results showed that adding BF can effectively improve the physical and mechanical properties of ACC, and the optimal BF content in the ACC of lightweight wallboards is 0.10%-0.15%.
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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 | 0.000 | 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) | 0.001 | 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".