Stress-path-dependent behaviour of compacted loess
Bibliographic record
Abstract
This paper describes an experimental study aimed at evaluating the effects of mechanical and hydraulic paths on the compressibility and water retention behaviour of compacted loess from Xi'an, China. Suction-controlled oedometer tests, performed on statically compacted samples, are combined with mercury intrusion porosimetry (MIP) tests to evaluate the volumetric behaviour as well as the evolution of soil fabric for the compacted material. Oedometer test results are analyzed in the degree of saturation versus suction plane, using the water retention curve (WRC) for as-compacted material as reference. Negligible volume change, and hence no movement of the as-compacted WRC, is observed upon drying paths under low stresses. Wetting paths cause plastic deformations and hence the movement of the water retention curve. Soil densification shifts the WRC rightwards (in the degree of saturation versus suction plane), enlarging the air entry/air occlusion values and promoting steeper wetting and drying branches. MIP tests show that specimens subjected to drying and loading paths retain their as-compacted bi-modal pore size distribution (PSD). However, re-arrangement in soil fabric towards predominant mono-modal PSDs is observed in specimens wetted and loaded. Soil suction increases the compressibility and the yield stress of compacted loess. These experimental features are properly captured using an elasto-plastic constitutive model for nonactive soils that accounts for the evolution of the loading-collapse (LC) yield locus with plastic deformation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".