INFLUENCE OF STRESS RATIO IN SHEAR SURFACE ON SHEAR STRENGTH OF DEPOSITED MATERIAL
Bibliographic record
Abstract
The "Ribnica" landfill of the "Vrtlište" surface mine bordered the river Ribnica until during 2017, a landslide was started and the river Ribnica was interrupted, and a water reservoir was formed. After the completion of the tunnel that diverted the river Ribnica, its previously interrupted riverbed in the downstream part is planned for continuation of the disposal of masses from the surface mine "Vrtlište" by making an earth dam. The dam has the role of retaining large waters in case of exceeding the maximum tunnel flow, as well as in cases of monitoring and construction work in the tunnel. The requirement to use landfill material for the construction of the dam poses a significant risk due to the lack of data on its shear strength. This paper presents the results of research on the shear strength of materials in the conditions of dam construction, under optimal moisture conditions and maximum compaction and analyzes the obtained results, which should define the behavior of the tested materials in the conditions of dam construction. The conducted research represents the first phase of the research, which will be followed by research into the shear strength of completely saturated materials, which will determine the behavior of deposited materials in the dam body and the final slopes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".