Turbulent Dispersion of a Passive Scalar in a Staggered Array of Cubes
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Bibliographic record
Abstract
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. Notes Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/unhb.
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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 | 0.000 | 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 | 0.000 |
| 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 it