Work Description

Title: Turbulent airfoil wake large eddy simulation Open Access Deposited

h
Attribute Value
Methodology
  • large eddy simulation
Description
  • This dataset contains data from a three-dimensional large eddy simulation of Mach 0.3 flow over a NACA 0012 airfoil at Reynolds number 23,000, which features a transitional boundary layer, separation over a recirculation bubble, and a turbulent wake. The dataset contains 16,000 time-resolved snapshots of the mid-span and spanwise-averaged velocity fields. All data are stored within hdf5 files, and a Matlab script showing how the data can be read and manipulated is provided. Please see the ‘airfoilLES_README.pdf’ file for more information. We recommend using the ‘airfoilLES_example.zip’ file as an entry point to the dataset.

  • The dataset is part of “A database for reduced-complexity modeling of fluid flows” (see references below) and is intended to aid in the conception, training, demonstration, evaluation, and comparison of reduced-complexity models for fluid mechanics. The paper introduces the flow setup and computational methods, describes the available data, and provides an example of how these data can be used for reduced-complexity modeling. Users of these data should cite the papers listed below.
Creator
Depositor
  • towne@umich.edu
Contact information
Discipline
Citations to related material
  • Towne, A., Dawson, S., Brès, G. A., Lozano-Durán, A., Saxton-Fox, T., Parthasarthy, A., Biler, H., Jones, A. R., Yeh, C.-A., Patel, H., Taira, K. (2022). A database for reduced-complexity modeling of fluid flows. AIAA Journal 61(7): 2867-2892.
  • Yeh, C.-A. and Taira, K. (2019) Resolvent-analysis-based design of airfoil separation control. Journal of Fluid Mechanics, 867:572–610.
Resource type
Curation notes
  • The readme file for this data set was updated on Feb 23, 2023 and then again on March 7, 2023. The "airfoil_snapshots_kz##.zip" files were renamed "airfoilLES_snapshots_kz##.zip" to make their file names consistent with the other files in this work. PACERDA: depreciated old readme and replaced with updated readme. check versions. updated citation 10/24/2023
Last modified
  • 10/24/2023
Published
  • 06/24/2022
Language
DOI
  • https://doi.org/10.7302/0e3g-6j84
License
To Cite this Work:
Towne, A., Yeh, C., Patel, H., Taira, K. (2022). Turbulent airfoil wake large eddy simulation [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/0e3g-6j84

Relationships

In Collection:

Files (Count: 11; Size: 223 GB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
airfoilLES_README.pdf 2023-03-07 2023-10-24 202 KB Open Access
airfoilLES_example.zip 2022-12-11 2022-12-11 463 MB Open Access
airfoilLES_grid.h5 2022-12-11 2022-12-11 5.09 MB Open Access
airfoilLES_mean_midspan.h5 2022-12-11 2022-12-11 2.54 MB Open Access
airfoilLES_mean_zavg.h5 2022-12-11 2022-12-11 2.54 MB Open Access
airfoilLES_parameters.h5 2022-12-11 2022-12-11 1.45 KB Open Access
airfoilLES_read.m 2022-12-11 2022-12-11 5.11 KB Open Access
airfoilLES_snapshots_midspan.zip 2022-12-11 2022-12-11 35.6 GB Open Access
airfoilLES_snapshots_kz00.zip 2023-03-07 2023-03-07 35.5 GB Open Access
airfoilLES_snapshots_kz01.zip 2023-03-07 2023-03-07 75.6 GB Open Access
airfoilLES_snapshots_kz02.zip 2023-03-07 2023-03-07 76.1 GB Open Access

Download All Files (To download individual files, select them in the “Files” panel above)

Total work file size of 223 GB is too large to download directly. Consider using Globus (see below).

Files are ready   Download Data from Globus
Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.