Impact of Initial Moisture Content on the Shrinkage-Swelling Behavior of Heishan Bentonite
Bibliographic record
Abstract
Bentonite is generally used as buffer or backfill material in geological repositories and its mechanical behavior is important to affect surrounding structures. In this paper, cyclic shrinkage-swelling tests are performed on Heishan bentonite taking into account the effect of initial moisture content. Results reveal that the shrinkage-swelling behavior of Heishan bentonite relies on initial moisture content and an obvious water retention property is obtainedwith the increases of initial moisture content. To investigate the accurate determination of aforementioned behavior of studied bentonite during drying and wetting cycle, the captured image of digital camera and the binary image processing technique are employed in this study. A simplified analytical model is proposed to simulate the shrinkage-swelling behavior at different initial moisture contents and the model parameters are calibrated by experimental results of Heishan bentonite. Based on the model performance, the model simulation agrees well with the tests and the proposed approach is able to predict the behavior of Heishan bentonite.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".