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Record W2056582127 · doi:10.2514/1.17646

New Mixed Method for Unsteady Aerodynamic Force Approximations for Aeroservoelasticity Studies

2006· article· en· W2056582127 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

VenueJournal of Aircraft · 2006
Typearticle
Languageen
FieldEngineering
TopicAeroelasticity and Vibration Control
Canadian institutionsBombardier (Canada)École de Technologie Supérieure
Fundersnot available
KeywordsAerodynamicsAerodynamic forceAerospace engineeringAeroelasticityComputational fluid dynamicsComputer scienceMechanicsApplied mathematicsPhysicsMathematicsEngineering

Abstract

fetched live from OpenAlex

Aeroservoelasticity (ASE) is the multidisciplinary study of interactions of control laws acting on active control systems with the flexible structure of a modern aircraft. This study is necessary for modern aircraft certification. In order to study the aeroservoelastic interactions on a Fly-by-Wire aircraft equipped with active control systems, one needs to study the interactions between the two disciplines: servocontrols (in the time domain) and aeroelasticity (in the frequency domain). Because of the fact that on a modern aircraft, we need to simulate the effects of the control laws on the flexible aircraft structure in real time, we need to approximate the unsteady aerodynamic forces from the frequency domain (aeroelasticity) into the Laplace domain (aeroservoelasticity) when servo-controls interact with the aircraft flexible structure. The unsteady aerodynamic forces are calculated for aeroelasticity studies in the frequency domain by use of the Doublet Lattice Method DLM in the subsonic regime for the business aircraft modeled by finite elements in Nastran. These forces are converted in the Laplace domain by various classical methods such as the Least Square (LS) and Minimum State (MS) methods. In this paper, we present a new mixed method based on the LS and MS combinations. We found that our method gives very good results with respect to the LS method and combines also the strengths of the two classical methods LS and MS. The results were presented for a business aircraft with 44 symmetric modes and 50 anti-symmetric modes.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.372
Threshold uncertainty score0.591

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 head0.017
GPT teacher head0.280
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