Modeling Soil Loss by Water Infiltration through Sewer Pipe Defects
Bibliographic record
Abstract
Due to deterioration of sewer pipes, soils can be lost by water infiltration through pipe defects, which may result in ground collapses and/or the formation of urban sinkholes. In this paper, soil particles without cohesion are simulated using a coupled discrete element method, and the Darcy’s water model is incorporated to account for the soil/water interaction. The parameters in this numerical model are calibrated using previous physical experimental measurements. From the numerical results, soils above the pipe defect will be washed out by water flow in a narrow zone just above the pipe defect, and the width is proportional to the pipe defect size. Based on the analysis of the force chain between soil particles in the erosion process, it is found that soil particles close to the pipe defect are lost under the gravity and drag force, whereas the friction between soil particles has a negligible effect on the soil particle motion. From the variation of soil flow rate in the erosion process, the rate of soil loss is proportional to the water flow rate in the erosion process. An analytical model is developed incorporating Stokes law to account for the water flow, and the model is verified by comparing with physical and numerical results. The mechanism of soil loss due to defective sewer pipe is investigated in this numerical simulation, and the proposed analytical model provides an effective approach for estimating the soil flow rate in the erosion.
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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".