Recommendations for Steel Pole and Drilled Shaft Deflection Criteria Based on a Parametric Study of a 138kV Double Circuit Transmission Line
Bibliographic record
Abstract
This paper presents a parametric study evaluating the impact of various deflection and rotation criteria for self-supporting, double circuit, 138kV steel pole structures and their foundations on the performance of the overall wire system. The study was used to develop guidelines for determining structure and foundation deflection, and rotation design criteria. The impact on conductor sag and blowout were evaluated by using PLS-Pole to model pole behavior and flexibility, PLS-Cadd to model the interaction between pole and wires, and MFAD to model foundation behavior. This study was conducted using a representative transmission line consisting of structures designed to varying levels of flexibility. This study focuses on the complex interactions between foundations, structures, and wires, and emphasizes the important effects these interactions can have on the overall system. Guidelines are developed for determining the deflection criteria for self-supported transmission structures, and their foundations, based on structure type and line angle.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".