Numerical modelling of one-dimensional discrete source detonation
Bibliographic record
Abstract
Detonation is a branch of combustion that is initiated by an exothermic chemical reaction and it results in a supersonic shock wave called the ÂDetonation WaveÂ. Generally detonation occurs in homogeneous reacting gaseous, liquid or solid media. However sometimes, detonation is also observed in highly non-uniform medium which contains detonable sources (reacting gaseous, liquid or solid media) in a discrete pattern. This project focuses on the study of effect of discrete energy sources on the detonation wave velocity with the help of numerical modeling and simulations. The energy release as a result of detonation is continuous for a homogeneous gaseous mixture and generally results in a Chapman Jouguet (CJ) Detonation Velocity. However in the presence of discrete energy sources, the detonation velocity comes out to be higher than the CJ Detonation Velocity as observed theoretical by Higgins A. (Proc. 20th ICDERS, Montreal, 2005). This project aims to find numerical solutions for highly discrete detonation systems to verify the already existing theoretical results for discrete detonation systems. For the calculation of detonation wave velocities for medium with discrete sources, numerical analysis was carried out on an in-house one dimension Euler code. Modifications in the code were made to use it for continuous detonation purpose initially to verify the exact CJ detonation velocity through the code and then at a later stage, other modifications were made to the code to use it for discrete detonation phenomenon. Using the in-house numerical code for solving supersonic flow problems, the continuous detonation system was modeled and the results obtained were within 0.05% difference with respect to the exact CJ Detonation Velocity. After wards, discrete detonation system was modeled and numerical experiments were performed. It was observed that the detonation wave velocity increases with the increase in discreteness of energy source which is consistent with the
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 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".