STUDY OF PHYSICAL AND MECHANICAL CHARACTERISTICS OF VARIOUS TYPES OF SOIL STRENGTHENED BY CLINKER WASTE
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
the specificity of the construction of roads is the use of a huge amount of various stone materials - sand, gravel, etc. To reduce the cost of road pavements, it is possible to replace stone materials with local soils. Such materials do not need to be transported by road or rail. It is known that most soils cannot be used in the construction of the road bed (sandy loam and loam are light dusty and heavy dusty, clay dusty and oily), as their use leads to the appearance of various deformations of the upper layers of road pavement. This problem can be solved by strengthening the soil with various types of binders, in particular, clinker waste. When conducting experimental studies to assess the effectiveness of the use of waste clinker production to strengthen the soil the following compositions without using: soil and 9% waste; soil and 18% waste; soil and 27% waste were investigated. As a result of the research, the main dependences of the changes in the physical and mechanical parameters of the soil concrete on the amount of waste clinker production introduced into the composition of various types of soils were identified. It was found that the use of waste clinker production to strengthen the loam allowed to obtain a reinforced soil brand M20. Strengthening sand with clinker production without the addition of cement is not practical, as the samples do not gain even minimal strength for 180 days, which allows them to be classified by brand, in addition, such samples have extremely low resistance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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