Experimental assessment of the shear strength of an asymmetric steel composite beam with web openings
Bibliographic record
Abstract
The number of high-rise buildings has greatly increased in Korea, and storey height is a significant component of tall residential buildings due to the limited city area. To reduce storey height, the wide beam has been adopted in some projects in Seoul such as Trump World, Galleria Palace, and Richencia. The joints between the wide beam and the core wall were too narrow to place the reinforcement, however. This paper investigates a newly developed structural system called the innovative, technical, economical, and convenient hybrid system (iTECH system). The iTECH system has an asymmetric steel assembly with web openings, where the top plate is welded on top of inverted structural "tees" whose cut is referred to as a "honeycomb" type. Both sides of the web and the slab are filled with cast-in-place concrete. The shear capacity was experimentally evaluated and verified, with parameters determined by factors that shared the shear strength of the iTECH beam. The steel web, inner concrete panel, and outer concrete panel contributed to the shear strength of the iTECH beam. The shear stirrup did not contribute much to the shear strength, however, and therefore a design equation using the steel web and inner concrete panel was suggested.Key words: composite beam, shear capacity, monotonic test, high-rise building.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".