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Record W2382332994

Multi-domain Parallel Computing for Static Strength Analysis of Whole Aircraft Model

2010· article· en· W2382332994 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAeronautical Computing Technique · 2010
Typearticle
Languageen
FieldEngineering
TopicSoil, Finite Element Methods
Canadian institutionsnot available
Fundersnot available
KeywordsNode (physics)Finite element methodDomain decomposition methodsComputer scienceDegrees of freedom (physics and chemistry)Domain (mathematical analysis)DecompositionSoftwareParallel computingComputer clusterCluster (spacecraft)Computational scienceStructural engineeringDistributed computingEngineeringOperating systemMathematics
DOInot available

Abstract

fetched live from OpenAlex

In the Windows XP 64 bit operating system environment,several common PC is used to build a cluster system,realizing the distributed memory parallel(DMP) computing.A finite element model of whole aircraft with about 260 million degrees of freedom(DOF) is developed using three-node and four-node thin shell element and two-node beam element.Employing the packaged METIS domain decomposition method(DDM) and making use of the large universal finite element software MSC.Marc,this paper realizes the parallel solving of the static strength model of the whole aircraft,which offers a high cost-effective solution for solving large complex finite element models.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.244
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.316
Teacher spread0.289 · 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