Pengukuran Geser Pada Interface Kayu-Tanah Dengan Pengujian Geser Langsung (Direct Shear Test)
Bibliographic record
Abstract
Cerucuk adalah salah satu jenis/tipe fondasi di atas tanah lunak yang berupa tiang dengan ukuran kecil dan tidak sampai pada kedalaman tanah keras, sehingga daya dukung yang ditimbulkan hanya mengandalkan friksi (interface) antara dinding tiang dengan tanah. Perencanaan cerucuk memerlukan analisis kapasitas dukung tiang yang tepat yang hanya mengandalkan gesek atau adhesif dari dinding tiang dengan tanah, yang besarnya tergantung dari parameter kuat geser yaitu kohesi (c) dan sudut ). Studi laboratorium secara intensif untuk mempelajari geser dalam ( dan menentukan karakteristik mekanik gesekan antara tanah dan kayu dengan pengujian geser langsung (direct shear test). Pengujian ini menggunakan alat uji geser langsung, dengan ukuran kotak uji 6 cm x 6 cm, uji geser dilakukan antara pasir ottawa – kayu dan antara tanah lempung – kayu. Pengujian ini dilakukan dengan tujuan untuk mengetahui besarnya sudut geser dalam dan kohesi antara kayu – pasir dan kayu – lempung setelah tahanan geser maksimum tercapai. Hasil pengujian / menunjukkan perbandingan nilai sudut geser dalam antara pasir – kayu = 0.64./= 0.88, sedangkan untuk lempung kayu
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".