Dynamic Analysis of a Slender Building Using Two Parallel Spectral Analysis Methods
Bibliographic record
Abstract
Wind action is crucial in the design of slender and flexible structures, as both height and wind load can induce worrisome dynamic responses in such constructions.The Paraguayan Standard NP 196 addresses wind action and recognizes its effects on rigid structures but lacks an analysis that includes dynamic effects for buildings susceptible to this wind action.International regulations such as the Euro Code 1: "Actions on Structures" incorporate the dynamic effect of wind through a Gust Response Factor, analyzing the theoretical spectrum of the fluctuating wind component.The objective of this study was to apply two parallel spectral analysis methods, Davenport and Galindez, to analyze a representative slender structure and evaluate the susceptibility of the gust response factor.This assessment was conducted based on the methodological variables proposed in the literature.The research indicates that the difference between both methods lies in the cross-correlation coefficient and the application of the equivalent static force in wind load calculations, with Davenport's method being suggested for its simplicity, or alternatively, Galindez's method which yields more conservative estimates of the equivalent static force.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".