Influence of dilatancy on the frictional constitutive behavior of a saturated fault zone under a variety of drainage conditions
Bibliographic record
Abstract
[1] We use numerical simulations to investigate how fault zone dilatancy and pore fluid decompression influence fault strength and friction constitutive behavior. Dilatant hardening can change the frictional response and the effective critical stiffness, Kcr, which determines the transition from stable to unstable sliding in velocity weakening fault zones. We study the frictional shear strength response to numerical velocity stepping experiments and show that when the duration of pore fluid decompression is long compared to the time necessary for frictional evolution (as dictated by rate and state friction) both the effective critical slip distance (DC′) and the effective shear strength direct effect (A′) are increased. We investigate the role of fault zone permeability (k), dilatancy coefficient (ɛ), and the magnitude of shearing velocity of the fault zone (vlp) and compare results using the Dieterich and Ruina state evolution laws. Over the range from k = 10−15 to 10−21 m2, DC′ increases from 25 μm to ∼2 mm and A′ increases from 0.15 to ∼5 MPa. We vary ɛ from 10−5 to 10−3 and the size of the velocity perturbation from 3X to 1000X and find large increases in the values of DC′ and A′, which may lead to inhibition of unstable sliding. Our results indicate that spatial variations, with either depth or lateral extent, in ɛ and k could result in significant changes in the drainage state in fault zones. Such variation may lead to spatial variation of the nucleation and propagation of earthquakes based upon the drainage capabilities of the fault zone.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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".