Numerical Modelling, Design, and Construction of a Geotextile-Reinforced Soil-Metal Buried Structure (GRS) under Deep Fills in Challenging Soil Conditions
Bibliographic record
Abstract
This paper presents a case history of design and construction of a geotextile reinforced soil-metal (GRS) 2040 mm diameter structural plate culvert under a 42 m high embankment at a mine in South America. The geotechnical data indicated that the underlying SAPROLITE and laterite soils were very soft with predicted consolidation settlement under the conduit and embankment of up to 3m. Due to the complexity of the problem, two-dimensional non-linear finite element analysis was employed to analyze the soil-structure and soil-geotextile interaction. Results showed that the composite system considerably improved the performance of the culvert under the considered loading conditions. The structure was constructed in 2015 to 2016 and it is reported that the structure is performing satisfactory. The composite GRS-culvert system provided a viable solution for challenging site conditions.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".