Rheological Behavior of Partly Crystallized Silicate Melts Under Variable Shear Rate
Bibliographic record
Abstract
High-temperature experiments were performed in order to shed new light on the shear-rate controls on magma viscosity. We compare viscosity data from three different compositions: an andesite from the Calbuco volcano, a basalt from the Etna 122 BCE Plinian eruption and a synthetic pyroxenite with a composition similar to the Canadian Theo's Flow. In addition to the determination of melt viscosity (at 1545–1715 K), we performed viscosity determinations at subliquidus conditions in partially crystallized materials, under controlled shear rates of 0.1 and 1 s−1 and at temperatures of 1483, 1493, and 1503 K for the Calbuco andesite, Etna basalt, and synthetic pyroxenite, respectively. The two different shear rates allow us to retrieve information about shear-rate influences on viscosity of partly crystallized systems. A decrease in viscosity is observed with increase in shear rate. This behavior is known in the literature as the “shear thinning effect.” Our data show that changes of shear rates from 0.1 to 1 s−1 may cause a viscosity difference of 0.5 to one order of magnitude. This effect should be taken into account when considering magmatic processes occurring in volcanic conduits. The rheological properties of partly crystallized systems could drastically change depending on the dynamics of the magmatic system.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".