Shear behavior of two-order asperities in three-dimensional rock joints: Experimental investigation and development of a morphology-based shear strength criterion
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rock instability is predominantly driven by the shear failure of rock joints, with joint morphology playing a critical role in governing shear behavior. Most existing studies emphasize overall joint morphology, often neglecting the distinct contributions of first- and second-order asperities. To address this limitation, this paper systematically investigates the roles of waviness and unevenness in influencing the shear behavior of rock joints. Joint morphology was decomposed using three-dimensional laser scanning and wavelet transformation techniques. Digital carving technology was employed to fabricate rock joint specimens, which underwent parallel direct shear tests. The results indicate that waviness primarily governs peak shear strength, while unevenness contributes to shear behavior during the pre-peak stress accumulation stage. Overestimating the contribution of unevenness results in an inaccurate assessment of roughness effects on peak shear strength. At high normal stresses, increased damage to waviness contributed to shear strength increments. Based on these findings, a shear strength criterion was developed, integrating the differential morphological contributions of waviness and unevenness. The proposed criterion demonstrated superior predictive accuracy when validated against experimental data. This work provides a deeper understanding of the multi-order asperity contributions to shear behavior.
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.
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 it