Development of a fast cloud-based simulation workflow for the complete aerodynamic evaluation of aircraft

Schubiger, Alain; van Oerle, Dario; Boiger, Gernot

Publication type:	Conference other
Type of review:	No review
Title:	Development of a fast cloud-based simulation workflow for the complete aerodynamic evaluation of aircraft
Authors:	Schubiger, Alain van Oerle, Dario Boiger, Gernot
et. al:	No
Proceedings:	Multiphysics 2022
Page(s):	26
Conference details:	International Conference of Multiphysics, Oslo, Norway, 15-16 December 2022
Issue Date:	15-Dec-2022
Publisher / Ed. Institution:	International Society of Multiphysics
ISSN:	2409-1669 2409-7527
Language:	English
Subjects:	OpenFOAM; Massive Simultaneous Cloud Computing (MSCC); Computational Fluid Dynamics (CFD); Aerodynamic analysis
Subject (DDC):	005: Computer programming, programs and data
Abstract:	The field of Computational Science is facing an increasing demand for data-intensive investigations. Engineering tasks such as parameter-, sensitivity- and optimisation studies need ensemble computing to an ever-increasing extent. At the same time, the field of artificial intelligence (AI) is pushing for ever more extensive, numerically derived learning-, testing- ,and validation data. With the cloud software KaleidoSim, we can run hundreds of numerical simulations simultaneously [1] and generate large amounts of data in a short time. Although KaleidoSim supports various simulation tools, this study uses only OpenFOAM. In this work, we developed tools and routines to speed up, simplify and automate studies containing hundreds of simultaneous simulations in the cloud. To test our toolbox, we conducted a complete 360° aerodynamic analysis of various airborne vehicles. The study included 420 OpenFOAM simulation cases. Each case was a steady-state, Reynolds Average Stress (RAS) turbulence model-based, single-phase flow simulation on a 1.5 million cell hexahedral finite volume grid. Drag and lift coefficients were calculated for each case.We used a combination of Python and KaleidoSim Application Programming Interface (API) routines to develop the toolbox. The Python based graphical user interface (GUI) allows switching between different CAD models so that multiple aircraft can be compared. The GUI also enables mesh sensitivity analysis to identify optimised meshes for each aerodynamic shape. Based on this, we performed a series of mesh sensitivity analyses using snappyHexMesh and CfMesh grids. This work proved that a combination of cloud computing via KaleidoSim-based API routines and Python scripting can speed up certain parameter study workflows by a factor of 50-100. Specifically, the exemplary, representative, semi-automated workflow of the aerodynamic study with 420 cases could be performed and post-processed in under 45 minutes, whereas a comparable workflow had before taken up to a full working week on local hardware.
Further description:	References: [1] Gernot Kurt Boiger, Darren Sharman, Bercan Siyahhan, Viktor Lienhard, Marlon Boldrini, and Dominic Drew. A massive simultaneous cloud computing platform for openfoam. In 9th OpenFOAM Conference, online, 19-20 October 2021. ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2021.2
URI:	https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/639912525a90a93394aa8b71/1670976084271/MULTIPHYSICS+2022-Abstract+Booklet.pdf https://digitalcollection.zhaw.ch/handle/11475/27043
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Computational Physics (ICP)
Appears in collections:	Publikationen School of Engineering

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Schubiger, A., van Oerle, D., & Boiger, G. (2022). Development of a fast cloud-based simulation workflow for the complete aerodynamic evaluation of aircraft [Conference presentation]. Multiphysics 2022, 26. https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/639912525a90a93394aa8b71/1670976084271/MULTIPHYSICS+2022-Abstract+Booklet.pdf

Schubiger, A., van Oerle, D. and Boiger, G. (2022) ‘Development of a fast cloud-based simulation workflow for the complete aerodynamic evaluation of aircraft’, in Multiphysics 2022. International Society of Multiphysics, p. 26. Available at: https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/639912525a90a93394aa8b71/1670976084271/MULTIPHYSICS+2022-Abstract+Booklet.pdf.

A. Schubiger, D. van Oerle, and G. Boiger, “Development of a fast cloud-based simulation workflow for the complete aerodynamic evaluation of aircraft,” in Multiphysics 2022, Dec. 2022, p. 26. [Online]. Available: https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/639912525a90a93394aa8b71/1670976084271/MULTIPHYSICS+2022-Abstract+Booklet.pdf

SCHUBIGER, Alain, Dario VAN OERLE und Gernot BOIGER, 2022. Development of a fast cloud-based simulation workflow for the complete aerodynamic evaluation of aircraft. In: Multiphysics 2022 [online]. Conference presentation. International Society of Multiphysics. 15 Dezember 2022. S. 26. Verfügbar unter: https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/639912525a90a93394aa8b71/1670976084271/MULTIPHYSICS+2022-Abstract+Booklet.pdf

Schubiger, Alain, Dario van Oerle, and Gernot Boiger. 2022. “Development of a Fast Cloud-Based Simulation Workflow for the Complete Aerodynamic Evaluation of Aircraft.” Conference presentation. In Multiphysics 2022, 26. International Society of Multiphysics. https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/639912525a90a93394aa8b71/1670976084271/MULTIPHYSICS+2022-Abstract+Booklet.pdf.

Schubiger, Alain, et al. “Development of a Fast Cloud-Based Simulation Workflow for the Complete Aerodynamic Evaluation of Aircraft.” Multiphysics 2022, International Society of Multiphysics, 2022, p. 26, https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/639912525a90a93394aa8b71/1670976084271/MULTIPHYSICS+2022-Abstract+Booklet.pdf.