Experimental study of granular platforms reinforced by geosynthetics over soft subgrade
Bibliographic record
Abstract
A series of large-scale laboratory tests was conducted to evaluate the impact of geotextile reinforcement on the performance of unpaved roads. An experimental protocol was established, detailing the preparation of the road base soil, installation of geotextiles, and soil compaction procedure, and then implemented. Seven unpaved road sections were successively tested under vertical cyclic loading (plate load tests) and two under traffic loading (using a Simulator Accelerator of Traffic or SAT) in a large experimental box (1.8 m in width, 5 m in length, and 1.1 m in height). Two road base thicknesses and two geotextiles with two different stiffness values were tested. The results demonstrated the effectiveness of geotextile reinforcement, with findings highlighting the influence of road base thickness on reinforcement efficiency and the impact of loading type on performance outcomes. A comparative analysis was also conducted between the experimental results and design predictions from Giroud and Han’s (2004b) method.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".