Numerical modeling of dynamic behavior of annular tuned liquid dampers for the application in wind towers under seismic loading
Bibliographic record
Abstract
In this study, an innovative technique is introduced for application of annular tuned liquid dampers (ATLD) in wind turbines subjected to seismic ground motions. The performance of ATLD in mitigating the vibration of wind turbines is investigated using numerical simulations. The wind tower is modeled using finite element method while the fluid domain is simulated by finite volume method. The numerical study considers the dynamic behavior of ATLD under different seismic records. Also, the effects of earthquake amplitude and frequency content, structural damping and detuning on the interaction between the tower and ATLD are investigated. The results of time-history analysis show that the ATLD is effective in mitigating the response of a wind turbine when subjected to large-amplitude seismic loading. The wind tower equipped with the proposed ATLD also behaves in the elastic range of response during the considered earthquake records which is critical for the integrity and safety of these 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 | 0.001 | 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".