Updating ASCE Manual No. 74: Guidelines for Electrical Transmission Line Structural Loading
Bibliographic record
Abstract
Following the last ASCE Electrical Transmission and Substation Conference (Columbus, OH in 2012), the current roster of the Task Committee on Electrical Transmission Line Structural Loading was assembled to work towards updating ASCE Manual of Practice No. 74: Guidelines for Electrical Transmission Line Structural Loading (ASCE-74). ASCE-74 is currently in its 3rd Edition, published in 2010, and provides guidance on loading criteria, weather-related loads (i.e., wind and ice), additional load considerations for transmission structures and wires (e.g., longitudinal loads), and an example design considering all relevant load cases. As well, an extensive set of appendices contains useful information relevant to the design and analysis of transmission lines. The 4th Edition of ASCE-74 is scheduled to be published in 2016, and will contain a number of revisions to the previous edition. Many of these revisions are relevant to weather-related loading (Chapter 2), which is currently the largest section of the Manual. This paper, written on behalf of the ASCE Task Committee on Electrical Transmission Line Structural Loading, outlines significant changes to the weather-related loading (Chapter 2) made for the upcoming edition of the Manual and discusses the reasoning behind some of the revisions.
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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 | 0.011 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.094 | 0.116 |
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".