Turbulence over cube-mounted rough bed using spatiotemporal averaging approach
Bibliographic record
Abstract
The paper describes an experimental study carried out in a laboratory flume to investigate the turbulent characteristics of cube mounted rough bed (3D flow). The three-dimensional (3D) velocity data are analyzed within the framework of double time-space averaging approach. The study particularly focuses on the changes induced in the mean velocities, turbulent intensities, Reynolds shear stresses, and form-induced normal and shear stress profiles both in time and space domains. The mean velocity profile shows two distinct distributions: linear distribution below the roughness crest and logarithmic distribution above the roughness crest. Within the roughness layer near the bottom, the form-induced stress changes significantly with roughness spacing. To highlight the stress terms and associated turbulent events, the quadrant analysis is performed using form-induced velocity fluctuations. Further, the turbulent kinetic energy budget is also analyzed to examine the bursting events comprehensively.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".