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Record W4392768170 · doi:10.4271/01-17-02-0013

Experimental Investigation of a Flexible Airframe Taxiing Over an Uneven Runway for Aircraft Vibration Testing

2024· article· en· W4392768170 on OpenAlexaff
Lohay Al-bess, Fidel Khouli

Bibliographic record

VenueSAE International Journal of Aerospace · 2024
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsCarleton University
Fundersnot available
KeywordsAirframeRunwayAeronauticsEngineeringAirplaneVibrationStructural engineeringAerospace engineeringAutomotive engineeringAcousticsPhysics

Abstract

fetched live from OpenAlex

<div>The ground vibration test (GVT) is an important phase in a new aircraft development program, or the structural modification of a certified aircraft, to experimentally determine the structural vibrational modes of the aircraft and their modal parameters. These modal parameters are used to validate and correlate the dynamic finite element model of the aircraft to predict potential structural instabilities (such as flutter), assessing the significance of modifications to research vehicles by comparing the modal data before and after the modification and helping to resolve in-flight anomalies. Due to the high cost and the extensive preparations of such tests, a new method of vibration testing called the taxi vibration test (TVT) rooted in operational modal analysis (OMA) was recently proposed and investigated as an alternative method to conventional GVT. In this investigation, an experimental setup was constructed to further investigate the applicability of the TVT to flexible airframes encountered in fixed-wing autonomous aerial systems with oleo-pneumatic shock absorber landing gears in a tricycle configuration. The influence of the taxiing speed and the landing gear–shock absorber damping setting on the outcome of the TVT is also investigated. The taxiing speed was found to strongly influence the success of the test with an optimal taxiing speed existing for the assembled airframe that allows for the best TVT outcome. The shock absorber damping setting was found to increase the level of the airframe excitation during the TVT; however, it did not impact its outcome as compared to the taxiing speed. Certain modes were not identified during the TVT tests, which was attributed to the way the assembled aircraft is secured to the moving belt and to the lack of sufficient excitation through taxiing. The experimental vibrational modes were successfully matched against the modes obtained from the normal modal analysis of an uncorrelated flexible multibody dynamics model. Further investigations are suggested before the TVT method can be deemed suitable for all classes of fixed-wing aerial systems.</div>

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)0.000
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 score0.425
Threshold uncertainty score0.416

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 communication0.0000.001
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 head0.027
GPT teacher head0.289
Teacher spread0.263 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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