Preparation and performance of energy-saving and environment-friendly autoclaved
Bibliographic record
Abstract
In order to realize the resource utilization of solid waste, autoclaved aerated concrete (ACC) was prepared by hydrothermal synthesis with quartz tailing sand (QTS) as the main siliceous material. The effects of fineness and content of QTS on the properties, hydration products and microstructures of AAC were investigated by particle size analysis, physical and mechanical properties test, X-ray diffraction analysis (XRD), fourier transform infrared spectoscopy (FT-IR), and scanning electron microscope (SEM). The results show that the AAC containing 65% QTS (in mass percentage) with a specific surface area (SSA) of 320 m 2 kg -1 can achieve a compressive strength of 4.43 MPa and bulk density of 560 kg m -3 , which qualifies the requirements of B06, A3.5 of AAC sample regulated by the composition and morphology GB/T 11969-2008. The small size of QTS particles and the high thickness of the slurry are harmful to form a good pore structure of AAC. When the blending percentage of QTS is too high, the unreacted QTS particle increase and accumulate within the system, which reduces the space among them and thus influences the growth and crystallization of hydration products and the properties of AAC. Phase analyses show that the main crystalline phases in the AAC samples are tobermorite, C-S-H, calcite, residual quartz and residual minerals from QTS.
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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 | 0.000 | 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 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".