Coupled Numerical Moelling Of Vacuum Consolidation With Nonuniform Pore Pressure Distribution
Bibliographic record
Abstract
In this study, Biot’s type hydro-mechanical coupled numerical models are used to examine ground improvement of fine-grained soft soil deposits using prefabricated vertical drains (PVD) and vacuum assisted consolidation methods in combination with embankment preloading. Fully coupled numerical simulations are developed in the context of the traditional unit cell radial consolidation theory commonly applied to PVD and vacuum assisted consolidation. The theoretical justification of nonuniform stress and porewater pressure distribution under an embankment of finite dimension is examined, with reference to field observations from full-scale case studies of PVD/vacuum consolidation in the literature. The impact of nonuniform porewater pressure distribution on the traditional unit cell radial consolidation theory are examined through numerical modelling, and the theoretical compatibility of nonuniform porewater pressure distributions and unit cell radial consolidation theory is discussed. \nThrough numerical modelling, it is observed that the traditional unit cell model of radial consolidation theory, which PVD and vacuum consolidation solutions were developed from, is functionally constrained to the assumption of uniform surcharge in the soil as the initial undrained condition. Deviations from the uniform surcharge assumption, such as nonuniform porewater pressure distribution in the soil that leads to variable porewater pressure gradients with respect to depth below the preloading embankment, or nonuniform applied vacuum pressure with depth, will effectively highlight the theoretical limitation of the traditional unit cell radial consolidation. To adequately address nonuniform stress and porewater pressure distribution in the soil, fundamental revisions to the traditional linear governing equations for PVD and vacuum consolidation are needed considering nonlinearity of the consolidation equation arising from evolving permeability and compressibility of the soil due to change in void ratio during consolidation; non-Darcian flow regime for low permeability soil; and large strain elasto-plastic behavior of the soil. In this study, considering the nonlinear soil stress-strain relationship are approximated using the Modified Cam-Clay model.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".