A structural model for yielding and degelation of colloidal gels
Bibliographic record
Abstract
Yielding is observed for a wide range of soft materials. For attractive colloidal gels, recent experiments and Brownian dynamics simulations have revealed intriguing features, including delayed yielding and degelation, characterized by distinct temporal evolutions of the strain and strain rate in creep tests. The objective of this work is to encapsulate such features in a compact continuum-level rheological model suitable for flow simulations. The model has three core components: (i) a degelation criterion that reflects a sharp sol-gel transition; (ii) a structural parameter that represents the degree of bonding in the gel, whose evolution is dictated by bond breakage under deformation and formation of new bonds; and (iii) a dynamically evolving elastic strain that represents the state of elastic stress and energy in the gel. Applied to simple shear flows under a constant stress (creep), startup of simple shear and pressure-driven Poiseuille flow in a circular tube, the model predicts three regimes with increasing stress: nonyielding, yielding, and degelation. The distinction between the latter two regimes is that yielding marks the emergence of flow, whereas degelation is the total loss of microstructures in a gel-to-sol transition. The transition between neighboring regimes exhibits hysteresis, and shear banding occurs at a uniquely selected stress when diffusion is allowed across the boundary between the bands. The model captures the key rheological features of attractive colloidal gels and shows qualitative and, in certain cases, quantitative agreement with experiments.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".