Combining CFD, EFD and FFD data via gappy proper orthogonal decomposition

Asal Kaveh; Wagdi G. Habashi; Zhao Zhan; Marco Fossati

doi:10.2514/6.2018-3169

Combining CFD, EFD and FFD data via gappy proper orthogonal decomposition

Asal Kaveh, Wagdi G. Habashi, Zhao Zhan, Marco Fossati

Mechanical And Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

2 Citations (Scopus)

Abstract

There is a need for developing a tool that combines data from Computational Fluid Dynamics (CFD) simulations, Experimental Fluid Dynamics (EFD), and Flight Fluid Dynamics (FFD) in the framework of Reduced Order Models (ROM). The “Gappy” Proper Orthogonal Decomposition (POD) is an extension of POD that allows consideration of incomplete data sets and can be used to enrich the experimental results to the size of CFD simulations. In this paper, a method based on an iterative application of POD basis extraction technique is implemented for reconstruction of the missing experimental snapshots, and the method’s accuracy is compared with experimental values.

Original language	English
Title of host publication	2018 Applied Aerodynamics Conference
Place of Publication	Atlanta, Georgia
DOIs	https://doi.org/10.2514/6.2018-3169
Publication status	Published - 24 Jan 2018
Event	36th AIAA Applied Aerodynamics Conference, 2018 - [state] GA, United States Duration: 25 Jun 2018 → 29 Jun 2018

Conference

Conference	36th AIAA Applied Aerodynamics Conference, 2018
Country/Territory	United States
City	[state] GA
Period	25/06/18 → 29/06/18

Keywords

finite element method
experimental fluid dynamics
computational fluid dynamics
fluid flow properties

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10.2514/6.2018-3169

Cite this

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title = "Combining CFD, EFD and FFD data via gappy proper orthogonal decomposition",

abstract = "There is a need for developing a tool that combines data from Computational Fluid Dynamics (CFD) simulations, Experimental Fluid Dynamics (EFD), and Flight Fluid Dynamics (FFD) in the framework of Reduced Order Models (ROM). The “Gappy” Proper Orthogonal Decomposition (POD) is an extension of POD that allows consideration of incomplete data sets and can be used to enrich the experimental results to the size of CFD simulations. In this paper, a method based on an iterative application of POD basis extraction technique is implemented for reconstruction of the missing experimental snapshots, and the method{\textquoteright}s accuracy is compared with experimental values.",

keywords = "finite element method, experimental fluid dynamics, computational fluid dynamics, fluid flow properties",

author = "Asal Kaveh and Habashi, {Wagdi G.} and Zhao Zhan and Marco Fossati",

year = "2018",

month = jan,

day = "24",

doi = "10.2514/6.2018-3169",

language = "English",

isbn = "9781624105593",

booktitle = "2018 Applied Aerodynamics Conference",

note = "36th AIAA Applied Aerodynamics Conference, 2018 ; Conference date: 25-06-2018 Through 29-06-2018",

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T1 - Combining CFD, EFD and FFD data via gappy proper orthogonal decomposition

AU - Kaveh, Asal

AU - Habashi, Wagdi G.

AU - Zhan, Zhao

AU - Fossati, Marco

PY - 2018/1/24

Y1 - 2018/1/24

N2 - There is a need for developing a tool that combines data from Computational Fluid Dynamics (CFD) simulations, Experimental Fluid Dynamics (EFD), and Flight Fluid Dynamics (FFD) in the framework of Reduced Order Models (ROM). The “Gappy” Proper Orthogonal Decomposition (POD) is an extension of POD that allows consideration of incomplete data sets and can be used to enrich the experimental results to the size of CFD simulations. In this paper, a method based on an iterative application of POD basis extraction technique is implemented for reconstruction of the missing experimental snapshots, and the method’s accuracy is compared with experimental values.

AB - There is a need for developing a tool that combines data from Computational Fluid Dynamics (CFD) simulations, Experimental Fluid Dynamics (EFD), and Flight Fluid Dynamics (FFD) in the framework of Reduced Order Models (ROM). The “Gappy” Proper Orthogonal Decomposition (POD) is an extension of POD that allows consideration of incomplete data sets and can be used to enrich the experimental results to the size of CFD simulations. In this paper, a method based on an iterative application of POD basis extraction technique is implemented for reconstruction of the missing experimental snapshots, and the method’s accuracy is compared with experimental values.

KW - finite element method

KW - experimental fluid dynamics

KW - computational fluid dynamics

KW - fluid flow properties

UR - http://www.scopus.com/inward/record.url?scp=85051742885&partnerID=8YFLogxK

U2 - 10.2514/6.2018-3169

DO - 10.2514/6.2018-3169

M3 - Conference contribution book

AN - SCOPUS:85051742885

SN - 9781624105593

BT - 2018 Applied Aerodynamics Conference

CY - Atlanta, Georgia

T2 - 36th AIAA Applied Aerodynamics Conference, 2018

Y2 - 25 June 2018 through 29 June 2018

ER -

Combining CFD, EFD and FFD data via gappy proper orthogonal decomposition

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