Performance of Three-Tiered Geogrid Reinforced Soil Wall with Modular Concrete Facing Block: A Case Study
Bibliographic record
Abstract
This paper describes a case study of the construction of three-tiered geogrid reinforced soil wall with modular concrete facing block, backfilled with soil-rock mixture, with total height of 20 meter, which is constructed to meet demanding site grade requirements.The construction issues, materials and project components are well documented and described.The results of limited monitoring program by surveying 18 specific points on facing of the embankment during and after the completion of construction are presented.Vertical deformations in sections with maximum height have higher values in the upper portion of each tiered wall ranging from 9 (mm) to 29 (mm).Horizontal movements of wall system are about 0.8% to 2.4% of the tiered wall height, which is in the order of anticipated movements from different guidelines.Finite element analysis using GeoStudio Sigma/w were performed under working stress condition.The soil modelled using elastic-plastic model with Mohr-coulomb failure criterion, and a linear elastic model considered for the geogrid reinforcement, which are modelled with beam elements.The interfaces between the adjacent concrete blocks with shear key were modelled using the thin layer element, and connection between the reinforcements and the surrounding soil is assumed with perfect interface adherence.Besides the challenges of predicting the facing displacements of mechanically stabilized wall with numerical modelling, the results of the numerical analysis are in acceptable agreement with measured field displacement.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".