Statistical Approach for Computational Fluid Dynamics State-of-the-Art Assessment: N-Version Verification and Validation

Frederick Stern; Matteo Diez; Hamid Sadat-Hosseini; Hyunse Yoon; Frans Quadvlieg

doi:10.1115/1.4038255

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Statistical Approach for Computational Fluid Dynamics State-of-the-Art Assessment: N-Version Verification and Validation

Journal article

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Statistical Approach for Computational Fluid Dynamics State-of-the-Art Assessment: N-Version Verification and Validation

Frederick Stern, Matteo Diez, Hamid Sadat-Hosseini, Hyunse Yoon and Frans Quadvlieg

Journal of verification, validation, and uncertainty quantification, Vol.2(3)

09/01/2017

DOI: 10.1115/1.4038255

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Abstract

A statistical approach for computational fluid dynamics (CFD) state-of-the-art (SoA) assessment is presented for specified benchmark test cases and validation variables, based on the combination of solution and N-version verification and validation (V&V). Solution V&V estimates the systematic numerical and modeling errors/uncertainties. N-version verification estimates the random simulation uncertainty. N-version validation estimates the random absolute error uncertainty, which is combined with the experimental and systematic numerical uncertainties into the SoA uncertainties and then used to determine whether or not the individual codes/simulations and the mean code are N-version validated at the USoAi and USoA intervals, respectively. The scatter is due to differences in models and numerical methods, grid types, domains, boundary conditions, and other setup parameters. Differences between codes/simulations and implementations are due to myriad possibilities for modeling and numerical methods and their implementation as CFD codes and simulation applications. Industrial CFD codes are complex software with many user options such that even in solving the same application, different results may be obtained by different users, not necessarily due to user error but rather the variability arising from the selection of various models, numerical methods, and setup options. Examples are shown for ship hydrodynamics applications using results from the Seventh CFD Ship Hydrodynamics and Second Ship Maneuvering Prediction Workshops. The role and relationship of individual code solution V&V versus N-version V&V and SoA assessment are discussed.

Details

Title: Subtitle: Statistical Approach for Computational Fluid Dynamics State-of-the-Art Assessment: N-Version Verification and Validation
Creators: Frederick Stern - University of Iowa
Matteo Diez - University of Iowa
Hamid Sadat-Hosseini - University of Iowa
Hyunse Yoon - University of Iowa
Frans Quadvlieg - Maritime Research Institute Netherlands
Resource Type: Journal article
Publication Details: Journal of verification, validation, and uncertainty quantification, Vol.2(3)
DOI: 10.1115/1.4038255
ISSN: 2377-2158
eISSN: 2377-2166
Grant note: DOI: 10.13039/100000006, name: Office of Naval Research, award: Multiple grants
Language: English
Date published: 09/01/2017
Academic Unit: Mechanical Engineering
Record Identifier: 9984201436502771

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