Reinforcement Load and Compression of Reinforced Soil Mass under Surcharge Loading
Bibliographic record
Abstract
Reinforced soil composites and mechanically stabilized earth (MSE) walls are frequently employed to carry large surcharge or footing loads. For the safety and serviceability of these reinforced soil structures, it is necessary to analyze the reinforcement load and compression of reinforced soil mass subjected to surcharge loading. In the research reported in this paper, an analytical method proposed by the writer was extended to meet these needs. The extended analytical method explicitly considers soil nonlinearity, soil dilatancy, soil-reinforcement interaction, and end restrictions of reinforced soil mass. Both plane-strain and triaxial stress states can be considered in the method. The applicability of the method for reinforcement load was validated against eight large-scale tests of reinforced soil mass or MSE walls, and the method for reinforced soil compression was validated against two large-scale tests. The compressions of four reinforced soil minipiers under surcharge loading were also predicted. The proposed method has the capacity to unify the analyses of reinforcement load and compression of a reinforced soil mass under low to medium surcharge loading. Some issues in the application of the proposed method are also discussed.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".