Examination of gust effect factor for side walls of rigid low-, mid-, and high-rise buildings
Bibliographic record
Abstract
The gust effect factors for side walls of rigid low-, mid-and high-rise buildings are examined in this paper.Statistical characteristics of side wall pressures, such as skewness, kurtosis, and peak factors, are examined along with parameters related to the wind spectra and the aerodynamic admittance.The results show that low-rise buildings tend to follow a Gaussian distribution, which allows the measured peak factors for low-rise buildings match with the model in ASCE 7.However, this does not happen for mid-and high-rise buildings due to the vortex shedding over side walls.Solari's model adopted in ASCE 7-16 is unable to assess the measured gust effect factor for side walls of mid-and high-rise buildings because unsteady, highly correlated body-generated flow features like vortex shedding are not involved in the model.Evidently, other body-generated fluctuations can be accounted for with the ASCE 7 model as long as the area-averaged fluctuations remain approximately Gaussian.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".