NUMERICAL ANALYSIS OF PERFORMANCE OF GEOGRIDS-REINFORCED RETAINING WALLS BY NONLINEAR FEM
Bibliographic record
Abstract
A numerical nonlinear analysis procedure based on finite element method is developed for the geogrids-reinforced retaining walls.The effects of both backfills and geogrids can be considered in the procedure.A case study for a large-scale test wall reinforced by geogrids,which is well documented by Royal Military College of Canada,is used to verify the reliability of the proposed numerical method.Then a comparative study is conducted for a varied range of parameters involved in the analysis such as deformation and strength properties of backfills and rigidity,length and vertical spacing of geogrids.The influence of these parameters on distribution and variation modes of stresses and deformations of the system are examined based on the computed results.It is shown that the rigidity of geogrids had a considerable effect on the behavior of geogrids-reinforced retaining walls when the backfills are of lower strength and stiffness;and that the geogrids have a limited length when the height of wall is fixed;and that the spacing of geogrids also has an effect on the deformation of the wall face.The performance behavior of geogrids-reinforced retaining wall is further discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".