Experimental Study of Geobagged Reservoir Siltations for Backfill Applications
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Infrastructure sustainability has become a major global concern. Massive reservoir siltations (RS) have seriously disrupted the service of many reservoirs worldwide. The dredged siltations are difficult to stockpile, or dispose of, because of their high water content and soft nature. This study explores a novel approach using RS to produce controlled low-strength materials (CLSM), reinforced with geobags that are used for storage and backfill applications. Test results have shown that, initially, geobags provided a significant contribution to the strength improvement of an RS-based CLSM. However, effective reinforcement appears to be highly dependent upon the type of geotextile and the original strength of the RS-CLSM. The results show a promising solution for reusing reservoir siltations and ensuring a sustainable approach for the mitigation of a silted reservoir.
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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 | 0.000 |
| 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