Kajian Eksperimental Peningkatan Kinerja Kuat Lentur Sambungan Ordinary dan Extended End Plate
Bibliographic record
Abstract
Sambungan pelat ujung (end plate connection) adalah sambungan semi kaku yang secara umum digunakan untuk menghubungkan balok-kolom. Dalam upaya peningkatan kuat lentur sambungan pelat ujung, salah satu alternatif adalah memperluas area sambungan pelat ujung. Namun, upaya yang dilakukan tersebut belum menghasilkan kuat lentur yang optimal. Penelitian ini bertujuan untuk meningkatkan kuat lentur sambungan pelat ujung dengan memberikan beberapa perkuatan yaitu penambahan area sambungan, pemasangan pengaku pelat badan, dan perpanjangan penyokong di area bawah balok. Untuk memverifikasi signifikansi perkuatan, benda uji tanpa perkuatan (ordinary end plate connection) digunakan sebagai acuan. Penelitian dilakukan melalui pemberian beban geser yang ditempatkan pada 400 mm dari sambungan dan beban ditingkatkan secara bertahap hingga benda uji gagal. Kajian eksperimental menunjukkan benda uji dengan kombinasi perkuatan berupa penambahan area sambungan dan penambahan pengaku badan memberikan kuat geser dan lentur yang paling baik. Selain itu, benda uji dengan perkuatan memiliki deformasi yang lebih kecil. Kajian teoritis mengacu ke SNI 03-1729-2020 menunjukkan kuat lentur nominal lebih kecil dibandingkan kuat lentur eksperimental. Hal ini menunjukkan kajian teoritis memberilan kuat lentur lebih konservatif.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.009 |
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".