SIMSOLS: A 3D virtual laboratory for geotechnical applications
Bibliographic record
Abstract
ABSTRACT:Peck (1990) suggests that “defense in depth should remain a guiding principle for all designers of dams.” To act on this suggestion, we propose a new tool (which we call SIMSOLS) for examining the process of particle migration through porous media in a discrete manner. We use a EulerLagrange formulation to simulate flow and particle migration. This tool, which is currently in development, has been validated to demonstrate the applicability, accuracy, and usefulness of its results. Some 2D and 3D numerical results are presented and compared to those obtained experimentally, and they show good agreement. The ability of SIMSOLS to visualize flow in a porous medium and to study the particle migration process will make it a useful tool to help us understand the internal stability problem encountered in modern earth dams and levees built using soils with a potential for internal instability.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".