Theoretical Study on Steady Airflow through Multiple Upper Opennings inside a Rectangular Building in the Presence of Indirect Flow
Bibliographic record
Abstract
The present paper is an extension of [2] work, in which, the study was concerned with an investigation of airflow through multiple upper vents in the presence of indirect flow, in which, the tendency of buoyancy force effect was strong due to the high temperature difference between interior and the ambient.A flow of this type represents a new class of boundary-layer flow problems in the building.Moreover, this is an exact solution of the complete Navier-Stokes Equations (including, buoyancy force term), which were then dimensionalised using some dimensionless parameters to reduce the Equations to ordinary differential Equations and then solved analytically by variation of parameter method and obtained the solutions, in which the behavior of parameters in the results were predicted the velocity, temperature profiles together with volumetric airflow and mass transfer.The results were then evaluated numerically for several sets of values of the parameters in order to ascertain the best for optimal ventilation.We performed comparison based on assume numerical values and parameter values of [2].From the simulations in Figures 151617, our Developed study is better and more efficient for ventilation.In conclusion, the main feature to be observed as the temperature changes increases the corresponding airflow is also increases this leads to the increase in velocity profiles.As the velocity of airflow increases the corresponding volumetric airflow is decreases, this leads to the increase in mass transfer in the building envelope.Therefore, the greater number of vertical vents in the building, and the greater temperature difference between the interior and exterior, the stronger is the effect of the buoyancy forces.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".