Large-eddy simulation of turbulent flow and dispersion over a matrix of wall-mounted cubes
Bibliographic record
Abstract
Turbulent flow over a matrix of wall-mounted cubic obstacles along with continuous release of a passive scalar from a ground-level point source has been investigated using wall-modeled large-eddy simulation (LES). The cubes are fully submerged in a modeled urban atmospheric boundary layer with high turbulence intensities. An inlet boundary condition has been proposed to reproduce the high turbulence level of the approaching flow based on generation of grid turbulence. Coherent flow structures induced by the cubes and their influences on dispersion of the concentration plume in the context of the highly disturbed flow are also investigated. The spatial evolution and temporal cascades of the kinetic and scalar energies have been examined in terms of their transport equations and resolved spectra. In order to validate the LES approach, numerical predictions of turbulence statistics for both velocity and concentration fields have been thoroughly validated against a set of comprehensive water-channel measurement data.
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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 | 0.000 |
| 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 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".