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Record W2998696895 · doi:10.2514/6.2020-0335

Full-scale aeroelastic simulations of hovering bat flight

2020· article· en· W2998696895 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

VenueAIAA Scitech 2020 Forum · 2020
Typearticle
Languageen
FieldEngineering
TopicBiomimetic flight and propulsion mechanisms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAeroelasticityWingFlappingAerodynamicsWing twistLift (data mining)Reynolds numberWing configurationAerospace engineeringVortexChord (peer-to-peer)Swept wingAngle of attackComputer scienceStructural engineeringEngineeringPhysicsMechanicsTurbulence

Abstract

fetched live from OpenAlex

In this paper, we study the aeroelastic behavior of a hovering bat using a three-dimensional variational fluid-flexible multibody framework. The aeroelastic framework consists of solving the coupled nonlinear interactions of flexible multiple components of the bat wing with the unsteady aerodynamics. To begin, we carry out the mesh convergence and compare the results of the presented formulation with the previous works on a flexible two-dimensional membrane subjected to low Reynolds number flow. We investigate the flapping dynamics of a full-scale bat using wing geometry and physical properties similar to the Pallas' long tongued bat Glossophaga soricina. The aeroelastic flexibility of the wing varies along its span and chord tending to a realistic bat wing, in contrast to the wing with uniform flexibility. We find that the flexible wings generate more unsteady lift compared to the rigid counterpart owing to the high wing-tip velocity due to the elastic deformation of the wings. Furthermore, we examine the time-varying vortex patterns and compare them with the experimental observations. We consider the effect of the anisotropic flexibility of the bone fingers and wing membranes on the aerodynamic lift as well as the vortex patterns generated by the flapping mechanism. Insights gained from the present study will be beneficial to develop novel designs for enhancing the maneuverability and flight agility of next-generation engineered flying vehicles (e.g., drones and micro-air vehicles) at low Reynolds number.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.711

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.191
Teacher spread0.183 · 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