Study on Design Method of SRC Abnormal Exterior Joint of Large-scale Thermal Power Plant Frame-bent Structure
Bibliographic record
Abstract
Due to the demand of manufacture technology, the main factory building forms intricate frame-bent structure, many abnormal joints with strong beam-weak column and changed beam and changed column. The bearing mechanism of abnormal joints is very complex, and design of those joints becomes the hard point in the design of large-scale thermal power plant. In order to improve seismic behavior of the thermal power plant frame-bent structure, the research group put forward SRC frame-RC dispersive short-pier shear walls mixed structure, and carried out SRC frame-dent structure sub-space model test. Based on the sub-space model test, the paper chose four typical SRC abnormal exterior joints to take the experimental research. Through the pseudo-static test of the joints, this paper mainly analyses the force-transmission path and bearing mechanism of the SRC abnormal exterior joints, and studies on the main factors which affect the shear capacity of joint. Besides, it puts forward some detailing requirements. Those may be references for practical design.
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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 | 0.001 | 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 | 0.001 | 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".