Investigation of seepage near the interface between an embankment dam and a concrete structure: monitoring and modelling of seasonal temperature trends
Bibliographic record
Abstract
Seasonal subsurface temperature monitoring, which exploits the fact that increased seepage flow may locally alter the temperature distribution, is a useful approach for leakage monitoring and evaluation within embankment dams and their foundations. At the Mactaquac Generating Station, New Brunswick, Canada, spatial and temporal variations of temperature have been monitored and modelled at the steeply inclined interface between the compacted clay till core of the embankment dam and an abutting concrete diversion sluiceway. Over a 4-year period, two seasonally recurring anomalies at different depths were observed by fibre optic distributed temperature sensing in the concrete structure close to the interface. A 3D coupled flow and heat transport model was developed in FEFLOW to simulate temperature distribution within the dam resulting from seasonal variations in air and reservoir temperature. Leakage zones near the interface were simulated in the concrete and embankment. At a depth of 13 m below the crest, the significant lag time between temperature variations in the reservoir and dam core shows that the leakage responsible for an observed temperature anomaly must be limited to enhanced flow within the concrete. At much shallower depths, where seasonal reservoir and dam core temperatures fluctuate nearly in phase, seepage paths are more challenging to determine.
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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 | 0.000 | 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 | 0.001 |
| 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".