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Record W7116125130 · doi:10.82417/dwxt-2423

Numerical investigation on transverse-gust-induced dynamic stall

2025· other· en· W7116125130 on OpenAlexaboutno aff

Bibliographic record

VenueEspace ÉTS (ETS) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsStall (fluid mechanics)AirfoilAngle of attackWingMach numberWind tunnelReynolds numberVortexDetached eddy simulationDynamic similarity

Abstract

fetched live from OpenAlex

With the development of Urban Air Mobility (UAM), understanding atmospheric disturbances near the ground has become increasingly important. These disturbances significantly impact low-altitude, low-speed flight vehicles, particularly in urban or mountainous environments where gusts are frequent. Flows resembling transverse gusts can alter the effective angle of attack (AOA), potentially triggering dynamic stall. Dynamic stall is a fluid dynamics phenomenon that occurs when the AOA of an airfoil alters around a high value that causes the airfoil to enter and exit the stall regime, leading to unsteady flow phenomena such as delayed vortex shedding and hysteresis effects that differ significantly from those in steady conditions. The phenomenon had been extensively studied using pitching wings. In our recent research, the transverse-gust-induced dynamic stall was confirmed experimentally by employing a stationary NACA0012 wing encountering transverse gusts (maximum amplitude ~ 7 deg) at transitional Reynolds numbers (Re ~ 105, Mach ~ 0.03) at the low-speed wind tunnel of the Royal Military College of Canada (RMC).To model the gust-induced dynamic stall, two-dimensional (2D) Large Eddy Simulations (LES) were first performed using an in-house code of the National Research Council Canada based on the RMC experimental setup. The Smagorinsky sub-grid scale model was implemented in the code, and a hybrid upwind/centred scheme was used for discretization. The split-velocity method was employed to introduce gusts in incompressible viscous flows. These numerical results, validated against experimental data, successfully reproduced the flowfield associated with the gust-induced dynamic stall process and supported its similarity to pitch-induced dynamic stall. However, a key experimental observation, the secondary lift loop due to delayed vortex shedding, was not captured, which highlighted inherent limitations of 2D LES.To address this, a three-dimensional (3D) LES study is conducted. The results confirm the presence of the secondary lift loop and demonstrate a similar pattern for the moment coefficient, consistent with experimental findings. Delayed vortex shedding is observed after the effective angle of attack reaches its maximum value. The study provides a comprehensive analysis of the gust-induced dynamic stall process, encompassing flow separation, vortex evolution, and flow reattachment, which are comparable with the experimental observations of pitch-induced dynamic stall. Furthermore, the 3D LES underscores the critical role of spanwise flow effects and vortex structures, which are absent in 2D simulations. These numerical simulations offer valuable insights into the mechanisms of dynamic stall induced by transverse gusts, advancing our understanding of this complex aerodynamic phenomenon.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.264
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 designSimulation or modeling
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

Citations0
Published2025
Admission routes1
Has abstractyes

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