An Investigation on OGFC Mix Made with VG-40 and CRMB-55 Binders
Bibliographic record
Abstract
The present study exhibits the effect of different bitumen binders on the open-graded friction course (OGFC) mix prepared using Indian Road Congress (IRC) OGFC aggregate gradation.The two different bitumen binders, VG-40 bitumen and CRMB-55 binder were used to prepare the mixes which were compacted at 80 gyrations in a Superpave Gyratory Compactor (SGC).Different tests were utilized to evaluate the optimum binder content (OBC) and performance characteristics of the mix.The tests conducted to estimate the OBC are the Marshall test, Cantabro abrasion loss test, drain down test, and moisture susceptibility test, while the performance evaluation of the OGFC mix was examined using the wheel tracking rut depth test and the falling head permeability test.The OBC for a mix prepared with binder VG-40 and CRMB-55 was found to be 3.5% and 4.0%, respectively.Compared to VG-40, the mix prepared with CRMB-55 exhibited to perform better with more resistance to rut depth and less permeability at OBC.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".