Time-domain numerical model of substation conductor span subjected to short-circuit loading
Bibliographic record
Abstract
Abstract: "Short-circuit faults in electrical power networks result in substantial electromagnetic forces on conductor cables as well as supporting structures. These dynamic forces often have a leading impact on the mechanical response of such elements, particularly in the case of short spans commonly encountered in substation structures. In this regard, most of the available design tools, such as international standard IEC 60865 [1], provide simplified equations to estimate the maximum forces induced during a short-circuit event. Besides the fact that such methods may be either too conservative or completely unsafe, the computed forces are imparted to the support structures as equivalent static loadings with safety margins [2], thus incurring unnecessarily prohibitive costs. Accounting for the dynamic effects in substation structures has shown to be essential for accurate and optimal designs [3]. However, ideal numerical modeling is usually time-consuming and requires large computational resources. In the present paper, a time-domain finite element model devoted to the dynamic analysis of conductors and support structures is presented for short flexible substation spans. The numerical model, developed using the open source software Code_Aster, employs one-dimensional elements accounting for large displacements to model a study case subjected to two consecutive short-circuit conditions. Three levels of modeling are analyzed and the resulting efforts in the structure are compared with analogous full-scale experimental results. Further parametric analysis is carried out numerically with a view to studying the effect of the short-circuits most influential parameters [...]."
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".