The Stiffness Evaluation of Tracking Solar Power Generator for Wind Load
Bibliographic record
Abstract
Since the efficiency of the solar power system is dependent on the incident solar light, the solar modules have to be installed towards the sun.[1]Because the tracking type can adjust the angle of the solar module following the sun, the energy efficiency of this type is good.Since the tracking structure has to be installed outdoors, loads such as self weight, wind load, snow load, earthquake load have to be considered.In this paper, just two kinds of loads; the self weight and wind load, were considered for the simulation.The others were ignored because they are small relatively.The simulation was done using Ansys FEM code.[2-5]Wind load was simulated using the wind speed and the fluid properties set appropriate to the area where the structure was installed.From the simulation they were found how much stresses and deformations were caused by these loads.A series of experiments was conducted to verify the result of the simulation.Strain gages were attached to the position where the large strain value was shown in the simulation.[6,7] Comparing those results the stiffness of the tracker was verified.
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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 | 0.000 | 0.001 |
| 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) | 0.003 | 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".