Production of Advanced Foam Concrete using the Vibroturbulization Process
Bibliographic record
Abstract
Foam concrete is a building material that has found widespread use in modern construction, which is cellular concrete with a spongy structure, formed by a large number of air bubbles locked in it. This structure is formed after hardening of a special mixture, which includes: purified water; sifted sand; high quality cement; foaming agent. Foam concrete is produced using a foam generator; foam generator and dispersant; by cavitation dispersion method; by high pressure. The disadvantages of these methods are: the resulting foam concrete blocks are susceptible to cracking and have a heterogeneous structure; use of a large amount of high-quality synthetic foaming agent; increased wear of equipment and the need to use a compressor. This article presents a completely new method for producing advanced foam concrete using the vibroturbulization process. In the developed method, a vertical vibration effect on a special mixture, which includes: purified water, sifted sand, high-quality cement, placed in a tank to produce foam concrete, in the vibroturbulization process mode, produces intensive foaming of the mixture by sucking all the air above the mixture in the tank onto its the bottom and intensive periodic float and immersion in the mixture of the resulting “swarm” of microdispersed air bubbles, which leads to uniform saturation of the mixture with microdispersed air bubbles. The resulting mixture, uniformly saturated with microdispersed air bubbles, is poured through a special tap installed at the bottom of the tank into special molds for hardening and obtaining advanced foam concrete with uniformly saturated microdispersed air bubbles of a given shape.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".