Comparison of Geotextile and Geogrid Reinforcement on Unpaved Road
Bibliographic record
Abstract
Geosynthetics, such as geotextile and geogrid, are commonly used for the reinforcement of unpaved roads. The geosynthetics can reduce the thickness of aggregate required above soft subgrade and improve the durability of the unpaved road. Both geotextile and geogrid perform similar functions and often equivalently. However, the similar functions come from different reinforcement mechanisms. The reinforcement by geogrid mainly results from lateral constraint provided by interlocking between aggregate and geogrid. In contrast, geotextile functions through a number of ways, including reinforcement through interaction friction, separation between subgrade soil and base course material, filtration, and drainage. Several methods are available to design unpaved road using these two reinforcements. The focus of this paper is to review and discuss the reinforcement mechanisms from geotextile and geogrid, as well as methods used for the design of unpaved roads with the two reinforcements.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".