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Record W2320183949 · doi:10.2514/6.2014-0194

Development of a Flight Data System and Experimental Determination of Aerodynamic Loads on a Wing Spar

2014· article· en· W2320183949 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAIAA Atmospheric Flight Mechanics Conference · 2014
Typearticle
Languageen
FieldEngineering
TopicAerospace and Aviation Technology
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSparWingAerodynamicsAerospace engineeringAeronauticsFixed wingWing loadingMarine engineeringAirplaneComputer scienceEngineeringStructural engineeringAngle of attack

Abstract

fetched live from OpenAlex

An aftermarket Arduino-based flight data instrumentation package was developed for a Diamond DA20-A1 Katana aircraft. This package, consisting of a digital compass, pressure sensors, a GPS receiver, and three auxiliary string potentiometers will be capable of measuring and recording the pilot control surface inputs and the aircraft response to those inputs. The designed instrumentation package will be used to record flight data of the DA20-A1 Katana over a range of flight manouevres common to flight training. Using this data, an aerodynamic load model and a time dependent load history will be generated of the aircraft wing spar allowing a concurrent viscoelastic analysis to be conducted.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.746

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.216
Teacher spread0.201 · 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