Molecular Dynamics approach for Fracture Simulation along a Weakly Bonded Interface
Bibliographic record
Abstract
Opening mechanisms for fractures (joints) characterized by weak bonding (nano-micro scale cracks) in low-porosity rock play a key role in shale oil and shale gas development through staged hydraulic fracturing. We explore the cohesive interface strength of two weakly bonded slabs of Polymethylmethacrylate (PMMA) with nano-scale Molecular Dynamics (MD) methods, calibrated to experimental data and simulated by the Finite Element Method (FEM). The proper stress/strain state at the weakly bonded interface is determined because it is required for MD simulation. Then, we develop a representative PMMA structure as an input for LAMMPS© software to simulate a tensile strength test. Results including per-atom stress values and pressures in different components are extracted, and we note that the fracture location and its behavior deduced from MD simulations follows experimental results. The total force for this simulation is close to 80 × 106 N, and we can use this parameter to reflect the fracture behavior of the weakly bonded PMMA slabs with an acceptable accuracy, considering the levels of uncertainty.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".