Aeroelastic simulation of torsional vibrations in a single-axis solar tracker
Bibliographic record
Abstract
Wind-induced torsional vibrations in a single-axis solar tracker (SAST) are simulated by coupling a structural displacement solver with delayed-detached eddy simulation (DDES) of the turbulent crossflow. The resulting amplitude-frequency response is reported across an operational range of reduced wind velocities at various orientations. This investigation aims to offer a cost-effective, agile alternative to wind-tunnel testing for SAST development. Based on validated fluid-elastic modeling practices, the work focuses on predicting the torsional galloping instability, as observed in earlier experimental research. The solutions confirm the onset of torsional instability for certain SAST orientations at critical reduced velocities in agreement with peer measurements. Moreover, two markedly different aeroelastic behaviours are categorized, labelled as the vortex-asynchronous and vortex-synchronous vibration regimes. Spectral analysis reveals that self-excited vibration is triggered by synchronization between the frequencies of vortex shedding and torsional vibration. The normalized work performed on the structure is computed, demonstrating a net energy influx per cycle from flow to structure during the galloping phenomenon. Ultimately, the adopted methodology serves as a viable and inexpensive test bed for the expedite prediction of aeroelastic response in SASTs. The automated control of design parameters and rapid computational turnaround can significantly streamline the wind design of open solar structures.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".