Application of Coordinate Resistance Functions on Predicting of Critical Impact Energy of Projectile for Perforation Phenomenon on Concrete Structure
Bibliographic record
Abstract
Great demand exist for more efficient design to protect personals and critical components against impact by kineticmissiles, generated both accidentally and deliberately, in various impact and blast scenarios in both civilian and militaryactivities. In many cases, projectiles can be treated as rigid bodies when their damage and erosion are not severe. Dueto the intricacy of the local impact damages, investigations are generally based on experimental data. Conclusions ofthe experimental observations are then used to guide engineering models. Local damages studies normally fall into three categories, i.e. empirical formulae based on data fitting, idealised analytical models based on physic laws and numerical simulations based on computational mechanics and material models. Perforation phenomenon is one of the local damage that has been investigated in the present study. It is describe as the complete passage of the projectile through the materialwith or without residual velocity is among the local damage threat in concrete structure. The relative of target thickness(H/d) to those critical energies are an important quantities that been explored in this study. The numerical simulation modelhas been developed using coordinate resistance function method for predict the perforation process. The target structures isdescribed based on coordinate system in a mesh-less way, which impose penetration resistance on the projectile throughresistance function based on dynamic cavity expansion theory. The penetration resistance on the surface of the rigidprojectile is a function of the instantaneous velocity of that surface, which can be determined by the rigid body motionof the projectile. Standard finite element method is introduced to model the rigid body motion of the projectile andis coupled with the coordinate resistance in a mesh-less target by exchanging the velocities and stresses through user-interfaces. Predictions of the critical impact energies during perforation process are compared with semi-empirical modeland corresponding experimental data. Encouraging predictions are observed when the model was validated with theexisting experimental data.
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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 | 0.002 | 0.001 |
| 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".