Turbulent Dispersion of a Passive Scalar in a Staggered Array of Cubes
Bibliographic record
Abstract
In this article, we report a numerical and experimental study of turbulent dispersion of a passive scalar released from a continuous ground-level point source in a staggered array of 16 × 16 cubical obstacles. Experimental measurements of the flow and dispersion were obtained in a boundary-layer water channel using laser-induced fluorescence (for concentration) and laser Doppler velocimetry (for velocity). Numerical simulations of the flow and scalar fields for this experimental configuration were performed using two in-house computer codes based on the Reynolds-averaged Navier-Stokes (RANS) method. Results of a detailed comparison between water-channel measurements and model predictions of the mean flow, turbulence kinetic energy, mean concentration, and concentration variance are presented. An advanced model for the concentration variance dissipation rate is validated in the new context of plume dispersion within and above a staggered array of cubical obstacles.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".