Effect of Activation Energy on Detonation Cellular Dynamics and Reinitiation Behaviors
Bibliographic record
Abstract
Two-dimensional simulations of detonation propagation in a channel filled with stoichiometric hydrogen–air mixture with unity Lewis number using the chemical-diffusive model (CDM) coupled with compressible Navier–Stokes equations are presented. Specifically, the effect of four activation energies ([Formula: see text], and 10) with CDM on detonation cell structures, cellular dynamics, and reinitiation behaviors is discussed. As [Formula: see text] increases, detonation cell size increases and the cellular structure becomes more irregular. Spectral analysis by the auto-correlation function is performed to provide quantitative insights about detonation cell size and irregularity. Furthermore, detailed analysis on the detonation wavefront captures three distinct detonation propagation modes, including stable detonation ([Formula: see text]), weakly unstable detonation ([Formula: see text]), and highly unstable detonation ([Formula: see text]). The effect of activation energy in detonation attenuation is further studied through a detonation propagation over a semicylinder obstacle, where two distinct detonation attenuation regimes are captured, including unattenuated detonation transmission ([Formula: see text]) and critical detonation reinitiation ([Formula: see text]). The mechanism of the critical detonation reinitiation event is further examined. It is found that a strong transverse detonation wave forms at higher activation energies after the Mach shock reflection at the bottom wall, which eventually leads to a steady detonation propagation.
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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".