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Record W2165882021 · doi:10.5589/q12-009

Development of the shock simulation methodology for spacecraft components

2012· article· en· W2165882021 on OpenAlexafffundvenue
M. Nejad Ensan, D. G. Zimcik

Bibliographic record

VenueCanadian aeronautics and space journal · 2012
Typearticle
Languageen
FieldMaterials Science
TopicHigh-Velocity Impact and Material Behavior
Canadian institutionsNational Research Council Canada
FundersUniversity of Calgary
KeywordsSpacecraftShock response spectrumRobustness (evolution)Shock (circulatory)Component (thermodynamics)Transient (computer programming)Shock waveComputer scienceAerospace engineeringEngineeringPhysicsAcceleration

Abstract

fetched live from OpenAlex

Spacecraft components encounter mechanical shock from a variety of sources. Components must withstand a series of flight shock pulses and must be designed and tested accordingly to ensure reliability. This paper presents a “Design for Shock” methodology to accurately analyze the response to shock for components under the short duration dynamic loading to assess component structural integrity and demonstrate design robustness. This methodology uses a more realistic simulation of the response of the component to shock loading using a wave propagation solution based on explicit time integration of the transient shock event rather than a stationary random and (or) quasi-static approach which has been traditionally used for this analysis. This approach was applied to a sensitive scientific instrument to demonstrate its effectiveness. The method is shown to provide a more accurate simulation of the shock event thereby reducing the unknown conservatism of the stationary random and (or) quasi-static approach while providing accurate simulation of the transient dynamic response of the structure.

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.

How this classification was reachedexpand

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score0.530

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.120
GPT teacher head0.329
Teacher spread0.209 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes3
Has abstractyes

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