Experimental study on seepage characteristics and stress sensitivity of desulfurization gypsum based concrete under triaxial stress
Bibliographic record
Abstract
Converting industrial by-products into green building materials is critical to achieve a low-carbon circular economy. Permeability is an important characteristic of a material that can affect its various engineering applications. Therefore, this study investigated seepage characteristics and stress sensitivity of a green building material, i.e., modified desulfurization gypsum based concrete. Different initial load damage and dry-wet-freeze-thaw alternating cycle test groups were established by simulating the service environment. Permeability evolution of specimens under different stress states during the loading and unloading of confining pressure was obtained. The loading phase was divided into high sensitive, medium sensitive, and low sensitive areas according to the sensitive coefficient, where the corresponding permeability decreased rapidly, moderately, and slowly. The recovery degree of permeability increased gradually with the decrease in confining pressure in the unloading stage. However, the permeability value was generally lower than that in the loading stage due to the plastic deformation of pores in specimens. The higher the damage degree of initial load and the more the number of dry-wet-freeze-thaw alternating cycles, the greater the permeability loss rate of specimens. Combined with nuclear magnetic resonance results, it was found that environmental factors affect the development of pore structure of each size in specimens, resulting in different initial permeability and permeability recovery. The T2 relaxation time curve shifted to the left under confining pressure, indicating that pore size in specimens became smaller, and seepage channel became narrower, and the permeability value decreased.
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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) | 0.001 | 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".