Numerical Simulation of Self-sustained Oscillations of an Airfoil at a Transitional Reynolds Number Using High Order Schemes
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.
Bibliographic record
Abstract
This paper is to investigate self-sustained oscillations of a NACA 0012 airfoil at a transitional Reynolds number using large-eddy simulation (LES). The unsteady compressible Navier-Stokes equations coupled with the Smagorinsky sub-grid scale (SGS) model are solved using a dual time stepping method. The unfactored line Gauss-Seidel relaxation iteration is employed for time marching. The physical temporal terms are discretized using a 2nd-order accuracy backward differencing scheme. To achieve high accuracy, a 5th-order weighted essentially non-oscillatory (WENO) scheme is used for the inviscid fluxes. The viscous terms are discretized using a fully conservative 4th-order or 2nd-order central differencing scheme. A preconditioning method is used for the unsteady computations of the static airfoil at the beginning to generate a good initial solution for the fluid-structural interaction (FSI) computations. A fully coupled fluid-structural methodology is employed. The structurally linear one-degree-of-freedom equation of pitching motion is solved according to the low-amplitude self-sustained oscillations observed in the experiment. All simulations are conducted on a message-passing interface (MPI)-based computer cluster with parallel computations to reduce the wall clock time. The preliminary two-dimensional (2D) LES results show that the developed computational fluid dynamics (CFD)/computational structure dynamics (CSD) simulation is able to capture the self-sustained oscillations with small amplitudes observed in the experiment. Copyright © 2011 by the American Institute of Aeronautics and Astronautics, Inc.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it