Cyclic response and modeling of saturated silty clay due to fluctuations in reservoir water level of the Three Gorges Dam, China
Bibliographic record
Abstract
The deformation characteristics of soil obtained from landslides at the Three Gorges Dam Reservoir have been examined. Due to the annual fluctuation in the water level of the reservoir, landslides around the Three Gorges Dam Reservoir are subjected to cyclic loading. Laboratory triaxial tests have been carried out on silty clay specimens subjected to cyclic changes in pore water pressure. The test results indicate that when the soil is subjected to repeated unloading–reloading with constant deviatoric stress in an overconsolidated state, the silty clay material shows inelastic deformation with the accumulation of irrecoverable strain. To capture this behavior, a constitutive model has been developed to simulate the deformation induced by changes in pore water pressure. This model is based on a modification of Yao et al. (2009)’s model to include the effect of cyclic loading. The model has been used to calculate the shear strain during cyclic loading and for a comparison with the laboratory test results. It has been shown that the proposed model is capable of capturing the deformation response of landslide soil subjected to changes in pore water pressure caused by the fluctuating water level of the reservoir.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".