Torsional capacity of prestressed assembled quarter-shell concrete tower with adhesive bonded vertical joints
Bibliographic record
Abstract
Prestressed assembled concrete tower with adhesive bonded vertical joints is currently a prevailing type of supporting structure of large-scaled onshore wind turbines. However, few works have been done to study the effect of the adhesive bonding on the mechanical behavior of this type of concrete towers. In this paper, the failure mechanism and torsional capacity of a quarter-shell concrete tower with adhesive bonded vertical joints were studied through finite element analysis. The failure sequences of the vertical joints in two typical load cases along with their influence on the stress distributions on the horizontal joints were discussed in detail. In addition, the torsional capacities evaluated by the free torsion model and constrained torsion model were compared with the simulation results, and the differences among them were explained. It was found that in the nonlinear stage of torsion, the compressive stress distributions on the horizontal joints no longer comply with the plain section assumption, and it is inappropriate to regard the concrete segments as thin-walled members. The constrained torsion model can be employed to evaluate the torsional capacity of whole ring towers quite well, but does not apply to quarter-shell towers. The torsional capacity of the quarter-shell tower is determined by the strengths of the vertical joints in several segments below the position of variable cross-section, rather than by the strengths of the horizontal joints. The results presented in this paper are expected to facilitate more rational design of concrete towers in the wind power industry.
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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".