Production‐limited delayed detached eddy simulation of turbulent flow and heat transfer
Bibliographic record
Abstract
Abstract A hybrid RANS/LES model based on the BSL k‐ω RANS model, termed the production‐limited delayed detached eddy simulation (PL‐DDES) model, was developed for simulating turbulent flow and heat transfer. The PL‐DDES model was obtained by limiting the production of turbulence kinetic energy with the proposed control resolution function. The PL‐DDES model was tested by simulating turbulent flow and heat transfer in a plane and a wavy channel with different thermal boundary conditions and different Reynolds numbers in this paper. The results of the plane channel flow show that the performance of the PL‐DDES model is better than that of the improved delayed detached eddy simulation (IDDES) model for alleviating the log‐law layer mismatch (LLM) issue. With a much coarser grid resolution, although the resolved turbulent scales decrease, the time‐averaged velocity and temperature are successfully predicted. The capability of predicting turbulent flow and heat transfer over a wavy wall manifests, and the PL‐DDES model has considerable potential in industrial and environmental applications.
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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 | 0.000 |
| 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 | 0.001 | 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 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".