بررسی آزمایشگاهی و عددی رفتار ستون های مختلط نیمه مدفون تحت بار محوری
Bibliographic record
Abstract
In current international practice, composite construction is gaining importance in industrial buildings and in particular in high-rise buildings. Partially encased composite (PEC) columns are one of the recent developments in composite column. Using composite columns have several advantages such as an increased speed of erection compared to reinforced concrete (RC) columns, a more cost-effective design, smaller cross-section dimensions for similar axial resistance, and a better resistance to fire and local buckling than for steel only columns in compare with traditional RC or steel only columns. One of the proper sections for columns is a cross-sectional shape that can be used in these columns. In this paper, experimental and numerical studies are carried out on three PEC columns under pure compression load. The main difference between the specimens is in the reinforcement details of the concrete. Parameters studied in numerical work, details of reinforcement, failure mode, width to thickness ratio of steel flange and distance and transverse link diameter. The results are presented in the form of axial load-displacement curves. Also, the values of experimental work were compared with the relations between the two European and Canadian regulations, which indicated that the Canadian code was conservative. The results were developed in a numerical section after validation with a laboratory specimens and the load-bearing capacity and deformation were evaluated. The evident buckling pattern in the specimens was the kind of rupture of the welds of the links and the local buckling of the flange plate between the two links. Also, the bigger interval between the two links caused an early local buckling in the specimen.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.013 |
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".