Methodology for Obtaining Aerodynamic Coefficients for Unified Wind Loading Provisions in ASCE 7
Bibliographic record
Abstract
The objective of this study was to develop a method to update and consolidate the aerodynamic coefficients that are currently in the directional procedure and envelope procedure for the Main Wind Force Resisting Systems (MWFRS) in Chapters 27 and 28 of ASCE 7-22. A large data set of wind tunnel data, including 85 building models with different geometries, was employed. Design pressure coefficients, and the zones on the building surfaces in which they apply, were developed to represent realistic spatial distribution patterns of the wind-induced pressures associated with critical structural responses. The pressure coefficient models, provided in a combined peak coefficient (GCp) form, are applicable to buildings of all (allowable) heights and aspect ratios. Nondimensional geometric parameters are used to capture the variations due to building shape and size for the pressure coefficients. The proposed provisions are a significant improvement in matching the wind tunnel data compared with existing provisions.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".