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Record W2316973931 · doi:10.2514/6.2015-1416

Tube Compliance Effects on Fluidic Flexible Matrix Composite Devices for Rotorcraft Vibration Control

2015· article· en· W2316973931 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

Venue56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference · 2015
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsBell Helicopter Textron (Canada)
FundersNational Science Foundation
KeywordsFluidicsComposite numberCompliance (psychology)VibrationMaterials scienceMatrix (chemical analysis)Tube (container)Vibration controlEngineeringMechanical engineeringStructural engineeringComposite materialAcousticsElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

Fluidic Flexible Matrix Composite (FMC) tubes are a new class of lightweight and compact actuators with potential applications in rotorcraft vibration control. These tubes’ high volume change in response to axial strain can be harnessed in new fluidic damper and absorber concepts. In this paper, a model for an FMC-integrated tailboom is used to determine the optimal FMC tube construction for a damped fluidic absorber on a small-scale tailboom. Benchtop experiments are performed to characterize model parameters related to the compliance and volume change of an individual FMC tube. Simulation results indicate that thin, soft tube bladders maximize vibration reduction. A 17.2 dB (86%) reduction in response is predicted in the first vertical tailboom bending mode for an FMC tube design using a stainless steel mesh and /32” thick rubber bladder configuration.

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 categoriesMeta-epidemiology (narrow)
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 score0.538
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.020
GPT teacher head0.255
Teacher spread0.236 · 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