Complexity of frictional interfaces: a complex network perspective
Why this work is in the frame
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Bibliographic record
Abstract
The shear strength and stick-slip behaviour of a rough rock joint are analysed using the complex network approach. We develop a network approach using correlation patterns of void spaces of an evolvable rough fracture (crack type II). Correlation among networks' properties with the hydro-mechanical attributes (obtained from experimental tests) of fracture before and after slip is the direct result of the revealed non-contacts networks. We show that networks' parameters yield a close relation to the contact zones' attachment-detachment sequences through the evolution of frictional interfaces. Furthermore results showed correlated patterns of sheared interfaces demonstrating assortative networks indicating the role of ‘hubs’ in driving frictional interfaces. Also, we discuss the scaling of fraction of ‘loops’ in formed networks with different stages of shear strength evolution. Our method can be developed to investigate the complexity of stick-slip behaviour of faults as well as new interpretations of friction laws in terms of network parameters.
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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