Experimental and numerical investigation of the influence of cables on utility pole modal property extraction
Bibliographic record
Abstract
This work is a preliminary study on the dynamic response of poles with and without the influence of electrical lines. It is part of a research collaboration between NL Hydro and Memorial University of Newfoundland to achieve a better method of diagnosing aging wooden poles through non-destructive techniques. Previous researchers in this collaboration have found a good correlation between modal testing and wooden pole decay when the poles were tested in the laboratory. However, this correlation weakens with results from field tests, possible due to foundation or attached cables. Therefore, the main objectives of this research are to create a dynamic model for a pole and cable, to design an experimental rig of a reduced scale pole and cable, to use the experimental rig to validate those models, and to gain insights on the influences of the cable on the pole response for future research. The pole model consists of a Euler-Bernoulli cantilever beam obtained through the separation of variables method. The cable was modeled by using a lumped segmentation technique that considers the system as a sum of several lumped elements containing mass, ideal springs and viscous dampers. Both models are implemented using the commercial software 20sim, which is a graphical solver for the bond graph formalism that simplifies the process of building, assembling and testing the models. These models are intended to be preliminary tools for future work with trustable simulations, thus will allow for the study of the interaction between systems, the scaling of long transmission lines and their effects on the results of modal testing, and the insertion of other electric components and attachments usually found holding the cables on the poles (i.e. isolators, cross arms, ground wire, guy wires, etc.). A reduced physical model for the pole and cable is designed to proceed with the validation of the developed models. Modal testing and time series measurements are performed over the apparatus and compared with the simulation results, showing good comparative results. In addition, the methods developed, physical and computational, can be used in the continuation of this work.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".