Peak Wind Load Comparison: Theoretical Estimates and ASCE 7
Bibliographic record
Abstract
A new procedure to derive the distribution of peak pressure and load coefficients from individual sample records is applied to wind tunnel records obtained from a generic flat-roof model tested at the Univ. of Western Ontario (UWO). The initial step of this procedure requires the identification of the appropriate marginal probability of these records. The corresponding distribution of the peaks is then obtained with the use of the standard translation process. Predicted load coefficients over variable tributary areas as determined from UWO records and based on a preset probability of non-exceedence are compared with the provisions of the ASCE 7 standard. Based on the open-terrain observations, the code provisions generally correspond to relatively low levels of nonexceedence of 84% or less. The ASCE 7 suggested method to estimate the peak pressure coefficients for the suburban environment based on those for the open terrain could be successfully applied to the UWO observations. This, however, is generally not true when performing a similar estimation procedure for peak load coefficients from the Clemson experiments.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".