Simplified numerical based method for calculation of DC ground electrode resistance in multi-layered earth
Bibliographic record
Abstract
The main focus of this thesis is to develop an efficient method for handling DC grounding problems involving earth non-homogeneity. A numerical technique has been employed using a commercial 'Finite Element Method' (FEM) package called 'ANSYS 5.5'. Due to the large scale of the problem domain a technique known as ''substructuring'' has been used. Classical analytical solutions were utilized to establish the accuracy of the numerical solutions. It is shown that an error of no worse than 10% in the estimation of the ground resistance can be guaranteed with only a few exceptions, which are pointed out in the thesis. A technique for reducing a problem involving two-layered earth to a homogeneous earth is proposed. This procedure can be extended to cover for cases involving multi-layered earth. The effects of inclined earth layers have been considered and suggestions for handling such situations are proposed.
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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 | 0.000 | 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".