Zoning of Soil Media by Raster Scan Algorithms for Two-Dimensional Steady State Flow
Bibliographic record
Abstract
A method for representation of soil media and boundary conditions in a cross section of ground layers is presented.The method is based on algorithms used in computer graphics, called raster scan algorithms, RSA.The method may be applied to various soil mechanics solutions, especially slope stability problems.In this article it is applied to steady state two-dimensional groundwater flow.Seepage equations are modified to finite difference equations that can be used with the raster scan algorithms.The method is used to determine total head, pressure head and flow rates at any soil point (pixel).Most of the characteristic problems in groundwater flow are easily treated with RSA method such as, anisotropy, multi soil layers, pockets of special soils, different boundary conditions, confined and unconfined flow, and flow to wells.Verifications included flow around a sheet pile, flow through earth dam and flow under a concrete dam.RSA method shows very promising to solve geotechnical problems efficiently.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".