Fracture evolution and mechanical deterioration of granite under cyclic thermal and liquid nitrogen cryogenic impact
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cryogenic stimulation using liquid nitrogen (LN2) has emerged as a promising alternative to conventional hydraulic fracturing for enhanced geothermal systems offering reduced environmental impact and improved stimulation efficiency. This study investigates the evolution of macro-mechanical properties and fracture structures in granite subjected to repeated high-temperature heating and LN2 cryogenic impact cycles—conditions simulating artificial thermal reservoir stimulation in hot dry rock environments. Standardized granite specimens were treated with varying thermal–cryogenic cycles followed by comprehensive characterization at multiple scales. Ultrasonic velocity measurements and spectral analyses were employed to assess internal damage and crack development induced by thermal–mechanical fatigue. Uniaxial compression tests were conducted to evaluate the degradation of mechanical parameters such as strength, stiffness, and failure mode. Furthermore, micro-computed tomography and three-dimensional laser profilometry techniques were integrated to quantify pore-fracture network evolution and surface morphology variations. The results demonstrate a progressive decline in mechanical integrity with increasing treatment cycles accompanied by enhanced connectivity and complexity of fracture networks. This study elucidates the coupled damage mechanisms induced by thermal shock and cryogenic contraction and provides experimental insights for optimizing LN2-based reservoir stimulation strategies in deep geothermal applications.
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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