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Record W6983667755

Multiphysics Modelling of the Coupled Behaviour of Precision-guided Projectiles Subjected to Intense Shock Loads

2014· dissertation· en· W6983667755 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTSpace (University of Toronto) · 2014
Typedissertation
Languageen
FieldEngineering
TopicElectromagnetic Launch and Propulsion Technology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProjectileMuzzleMultiphysicsShock waveShock (circulatory)Coupling (piping)Finite element methodAmmunition
DOInot available

Abstract

fetched live from OpenAlex

Precision-guided projectiles (PGPs) are subjected to severe shock loads, often leading to the failure of the highly sophisticated embedded electronic systems (EES) responsible for guidance. It is the objective of this work to conduct a comprehensive explicit axisymmetric Lagrangian-Eulerian multiphysics finite element analysis of the entire launch process of PGPs accounting for coupling and interaction effects between the different media. The influence of these interaction and coupling effects on the local and global accelerations and pressures are studied. An extensive examination of the severity and frequency of the reflected waves and the effect of PGPs springback is conducted. The results reveal that the pressure drop at muzzle exit is the contributing factor determining the severity of exit accelerations. Moreover, the formation and interaction of shock waves has little effect on the projectile response. Finally, the interaction with barrel has a significant influence on projectile response, especially after muzzle exit.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.216
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it