Stability analysis of accumulation body based on monitoring results of deep displacement
Bibliographic record
Abstract
The stability of accumulation body commonly adopts a qualitative and quantitative analysis method, which considers the geological boundary conditions, calculation model and mechanical parameters of rock mass and so on This causes the stability results be limited, so it is unlikely to make a real-time quantitative evaluation on the accumulation body. This paper proposes a method which avoids these problems, and timely evaluates the accumulation stability based on the monitoring results in the process of the deformation development. It involves two parameters, i.e. the integrity index S(i) and the destructive index S(d), used to evaluate quantitatively the dynamic change of accumulation body when the progressive destroy occurs from the bottom up. Take talus in front of the dam of Zippingpu hydraulic project as an example, this method not only measures the S(i) and S(d) during movements of its reservoir water level, but also evaluates the impact of Wenchuan earthquake on the accumulation body. it is proved by an example that this method is convenient, practical and feasible..
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".