Network Method As A Tool To Study The Influence Of The Position Of A Sheet Pile Under A Dam On Pore Pressure And Groundwater Flow
Bibliographic record
Abstract
Before building gravity dams, some verifications must be carried out in order to check its safety, most of them related to groundwater flow and pore pressure distribution at the base of the structure. By placing a sheet pile under the dam, these phenomena, connected to piping and the value and location of the uplift force, can be controlled. These variables are usually studied considering the soil as isotropic, which simplifies the problems to obtain universal solutions, whether these are graphical or analytical. Nevertheless, assuming this simplification, real scenarios are not reflected, for example anisotropic hydraulic conductivities. In this paper, the effect of the location of a pile under the dam in different scenarios is studied: dam without a sheet pile and dam with a sheet pile located at the heel, centre and toe of the structure, modelling two different media in all cases, with isotropic and anisotropic hydraulic conductivities. In this way, the change in safety due to the pile and anisotropy can be considered. The scenarios are simulated with a tool based on the network method, with which, employing the electrical analogy, the variables of the problem (hydraulic potential, h, and groundwater flow, Q) are obtained by solving electric quantities voltage (V) ad electric current (I), respectively.
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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".