Computational Investigations of Large Strain Consolidation and Consolidation-Induced Contaminant Transport /
Bibliographic record
Abstract
The phenomenon of coupled consolidation and contaminant transport occurs for a variety of practical applications in the area of geotechnical and geoenvironmental engineering. These applications, among others, include mechanical dewatering of contaminated soil or slurry, and contaminant transport through a landfill compacted clay liner during waste placement operations. In these applications, soil consolidation and contaminant transport occur simultaneously and the coupled effects must be accounted for in order to accurately simulate the transport process. First, an enhanced version of the CS2 model (Fox and Berles 1997) is presented for one- dimensional large strain soil consolidation. A variety of numeric examples indicate that the new capabilities describe important considerations for consolidation analysis. Based on the enhanced CS2 model, a numerical model, called CCRS1, is developed for one-dimensional large strain consolidation under constant rate of strain (CRS) loading conditions. Results indicate that analytical solutions obtained using small strain theory can be in significant error for large strain conditions with changing coefficient of consolidation. Based on an existing CST2 model (Fox and Lee 2008) and the newly developed CCRS1 model, a numerical model, called CSTCRS1, is developed for coupled one-dimensional large strain consolidation and solute transport under CRS loading conditions. Numerical investigations are presented to illustrate the effects of initial concentration distribution, transport conditions, applied strain rate, initial specimen height, and drainage and concentration boundary conditions on consolidation-induced solute transport for CRS loading conditions. Using the CST2 model and CSTCRS1 model, numerical investigation is conducted to compare the solute transport for increment loading (IL) and CRS consolidation conditions. Using the CST2 model, the results of a numerical investigation are presented to assess the significance of compacted clay liner (CCL) consolidation on contaminant transport through single CCL and composite geomembrane/CCL landfill bottom liner systems. Simulation results indicate that consolidation can have an important effect on contaminant transport through CCL, not only during the course of the consolidation process but also long after consolidation has ended. Analysis based on traditional advective- diffusive transport fails to consider the transient advection and properties changes of CCL caused by consolidation and thus can lead to significant errors
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".