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Combined Error and Uncertainty Estimates for CFD ProblemsGiven input sources of uncertainty, non-intrusive uncertainty propagation methods quantify the uncertainty in output quantities of interest (QoI) by performing a nite number of CFD (Computational Fluid Dynamics) instance realizations needed in the calculation of output statistics. It is well known that this introduces multiple sources of error. CFD codes often utilize finite-dimensional approximation (grids, basis functions, etc.) thus incurring CFD numerical errors often approximately reinterpreted as a statistical bias. Uncertainty propagation methods calculate uncertainty statistics for output quantities of interest using a numerical method (e.g. deterministic quadrature, sampling, etc.) thus incurring UQ (Uncertainty Quantification) numerical errors. Importance of quantifying these errors in large scale scientific computing: How accurate is an output statistic?; How should additional computational resources be invested to further reduce the error in a statistic?
Document ID
20190025380
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Barth, Timothy
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
May 29, 2019
Publication Date
July 4, 2018
Subject Category
Fluid Mechanics And Thermodynamics
Report/Patent Number
ARC-E-DAA-TN56510
Meeting Information
Meeting: Platform for Advanced Scientific Computing Conference (PASC 18)
Location: Basel
Country: Switzerland
Start Date: July 2, 2018
End Date: July 4, 2018
Sponsors: Eidgenossische Technische Hochschule (ETH), ACM
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
Posteriori
Uncertainty
CFD
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