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Record W4386215865 · doi:10.32920/24043422

A Distributed Doublet-Based Method for Unsteady Aerodynamic Analysis with Relaxed Wakes

2023· preprint· en· W4386215865 on OpenAlexaff
Travis Krebs

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicTurbomachinery Performance and Optimization
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAirfoilAerodynamicsThrustWakeAerodynamic forceMechanicsLift (data mining)PhysicsAdvance ratioComputational fluid dynamicsMathematicsRotor (electric)Computer scienceBlade pitch

Abstract

fetched live from OpenAlex

A novel potential flow-based method for unsteady aerodynamic analysis with relaxed wakes is presented. This method models aerodynamic surfaces and wakes using distributed doublet elements (DDEs) of parabolic strength in both the spanwise and streamwise directions. Due to the nature of the method, the velocities induced by a DDE-based system are bounded everywhere, meaning there are no non-physical or infinite induced velocities in the velocity field, as opposed to lower-order filament-based potential flow methods. In addition to providing a robust velocity field, the use of DDEs provides a degree of stability in predicting unsteady forces that is unachievable with conventional lower-order methods. The DDE-based method was validated through a series of four studies. The first study predicted the span efficiency of various planar elliptical wings, which agreed with the classical lifting line solution to within 3%. The second study predicted the unsteady lift response to an airfoil passing through a sharp-edged gust, which matched the analytical solution provided by the Küssner function, illustrating the stability of the unsteady force calculations within the DDE-based method. The third study predicted the unsteady time-averaged thrust force produced by a small, rigid rotor at various tip-path plane angles and advance ratios, matching experimentally-obtained data to within 10%. The final study compared the transient sectional thrust of a small, rigid rotor blade operating under unsteady conditions to those obtained via a CFD-based analysis. The comparison agreed well in magnitude and azimuthal location. Two exploratory studies focusing on small, rigid rotors were performed to demonstrate potential applications of the DDE-based method. The first study quantified the impacts of rolling maneuvers on the time-averaged thrust and moments of a rigid rotor, with the results indicating that a rolling maneuver can have a significant effect on the thrust and roll moment coefficients. The second study predicted the transient thrust of two rotors operating under multiple tip-path plane angles and advance ratios, showing transient thrust oscillations of up to 60% of the mean thrust output in some cases. The thrust output of individual rotor blades oscillated by up to 90% of the mean total rotor thrust under certain conditions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.262
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations0
Published2023
Admission routes1
Has abstractyes

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