Freezing-test methods for masonry products in Russia, the EU, the USA and Canada
Bibliographic record
Abstract
The article analyzes the methods of testing for frost resistance of brick, stone, block in Russia, European countries, as well as in the USA and Canada. It is noted that in Russia and in European countries there is an incorrect assessment of the frost resistance of masonry wall products tested by the method of volumetric freezing and the method of unilateral freezing. The article also states that in the USA and Canada, a different method is used to determine the frost resistance of masonry products. The main purpose of the article is to point out to consumers: designers, builders, individual developers, the need to take into account the methods of determining their frost resistance when using masonry products. It is also necessary to review the frost resistance control of ceramic and silicate masonry products, as well as to amend the joint venture for the design of stone and reinforced stone structures in terms of designating the frost resistance of various types of masonry products. As an example, a table from the joint venture on the design of reinforced concrete structures is given, in which various designations are indicated for different types of concrete, which correspond to different test methods.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".