STUDY ON RESTORING FORCE CHARACTERISTICS MODEL FOR PRESTRESSED CONCRETE FRAMES
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, elasto-plastic analyses using a matrix method were systematically performed, in order to investigate the hysteretic behavior of multi-story prestressed concrete frames. The variables adopted in the analyses were the number of the stories, the yielding mechanism type, and the ratio of reinforcement index for non-prestressed reinforcement to that for prestressed steel. Through these analyses it is shown that the hysteretic behavior of prestressed concrete frames strongly depends on that of the yield hinge regions. On the basis of this result, the authors present a restoring force characteristics model for prestressed concrete frames. Furthermore, a design method was proposed to check the retained lateral strength of the prestressed concrete frames, based on the equivalent linearization method.
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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 it