A Review on Stone Columns used for Ground Improvement of Soft Soil
Bibliographic record
Abstract
Stone columns repeatedly used for stabilization of soft soils.For the support of different structures, use of stone columns is increasing day by day.Stone columns are used for the improvement of settlement and bearing capacity of soft soils in reasonable fare and friendly towards the environment.In present paper, a review to analyse the behavior of stone columns used in different types of constructions such as oil storage tanks, embankments, buildings etc.The consequence of without encased and encased stone columns on several types of construction is studied.The effect of various diameters with various depths in ground also reviewed.For the encasement different types of geosynthetics are used for improvement of the results.For the prediction of the settlement of foundations reinforced with stone column number of numerical and physical approaches are done.This paper deals with several theories exist from past to present which helps in understanding the enhancements by stone columns in boosting soft soils.In development of geotechnical properties physical modelling has an important role.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".