@inproceedings{e625ed069eaf48b39fe725ce26545a48,
title = "In Situ and Extract Based Data Analytics of Unsteady CFD Simulations of a Ship Airwake",
abstract = "A new Computational Environment and Visualization method that enables the ability to more readily perform Knowledge Extraction from a large scale unsteady CFD simulation is presented. A co-processing extract workflow for a frequency based data analysis of a ship airwake simulation with OpenFOAM was used to demonstrate this capability. This capability is demonstrated through the use of in situ based data extracts created with Kombynetm to directly save to disk surface and volume extracts as a time accurate OpenFOAM simulation executes. The data extracts are then further post-processed to create output data that can be interactively viewed and explored using IntelliTwintm and dbSlice. This paper provides further details on the method and discussion of how the method furthers Knowledge Extraction.",
author = "Duque, {Earl P.N.} and Laganella, {Chris D.} and Amels, {Dave A.} and Legensky, {Steve M.} and Major, {Desirae A.} and Sven Schmitz",
note = "Publisher Copyright: {\textcopyright} 2024, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; AIAA Aviation Forum and ASCEND, 2024 ; Conference date: 29-07-2024 Through 02-08-2024",
year = "2024",
doi = "10.2514/6.2024-4508",
language = "English (US)",
isbn = "9781624107160",
series = "AIAA Aviation Forum and ASCEND, 2024",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA Aviation Forum and ASCEND, 2024",
}