Comparison of aeroelastic wind tunnel tests and frequency domain analyses of guyed mast dynamic response1This paper is one of a selection of papers in this Special Issue in honour of Professor Davenport.
Bibliographic record
Abstract
Although the dynamic response of telecommunication guyed masts in turbulent winds may be analyzed using a number of numerical models, limited experimental verification of the dynamic analysis results has been performed. Full-scale measurements, where available, have proven to be difficult to correlate with analytical models due to the uncertainty inherent in field measurements. As a result, the need for systematic validation and calibration of existing analytical models remains. A wind tunnel study was therefore undertaken on a dynamically scaled aeroelastic model of a 300 m guyed mast in turbulent boundary layer flow conditions. Dynamic responses measured during the wind tunnel tests are presented, including dynamic displacements, bending moments and peak factors, as well as natural frequencies and mode shapes. Comparisons are also made with results from an existing frequency domain analysis model. It was found that good agreement was generally achieved between the frequency domain analytical model and t...
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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 | 0.001 | 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) | 0.001 | 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".